Relevant bibliographies by topics / Broken rotor bar / Journal articles

To see the other types of publications on this topic, follow the link: Broken rotor bar.

Journal articles on the topic 'Broken rotor bar'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Broken rotor bar.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

Khan, Rizwanullah, Mohd Fairouz Mohd Yousof, Rahisham Abd Rahman, Norhafiz Azis, Salem Al-Ameri, and Asjad Ali. "Broken rotor bar detection of three phase induction motor using frequency response analysis." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 2 (2025): 1289. https://doi.org/10.11591/ijece.v15i2.pp1289-1296.

Full text

Abstract:

Three phase induction motors (TPIMs) are broadly utilized for various applications in the industry, but they are prone to different faults that can affect their performance and reliability. One common fault is a broken rotor bar, which leads to vibration, noise, and reduced efficiency. Therefore, detecting and identifying this fault early is important to avoid further damage and reduce maintenance costs. This paper proposes a novel method using frequency response analysis (FRA) to diagnose broken rotor bars in a TPIM. The response of normal motor is measured to obtain the baseline. Subsequently, the rotor was inflected with physical damage to represent a broken rotor bar. By comparing normal and faulty rotors, the measurement shows that frequency response analysis is sensitive toward various fault severity based on the number of broken rotor bars.

APA, Harvard, Vancouver, ISO, and other styles

Khan, Rizwanullah, Mohd Fairouz Mohd Yousof, Rahisham Abd Rahman, Norhafiz Azis, Salem Al-Ameri, and Asjad Ali. "Broken rotor bar detection of three phase induction motor using frequency response analysis." International Journal of Electrical and Computer Engineering (IJECE) 15, no. 2 (2025): 1289–96. https://doi.org/10.11591/ijece.v15i2.pp1289-1296.

Full text

Abstract:

Three phase induction motors (TPIMs) are broadly utilized for various applications in the industry, but they are prone to different faults that can affect their performance and reliability. One common fault is a broken rotor bar, which leads to vibration, noise, and reduced efficiency. Therefore, detecting and identifying this fault early is important to avoid further damage and reduce maintenance costs. This paper proposes a novel method using frequency response analysis (FRA) to diagnose broken rotor bars in a TPIM. The response of normal motor is measured to obtain the baseline. Subsequently, the rotor was inflected with physical damage to represent a broken rotor bar. By comparing normal and faulty rotors, the measurement shows that frequency response analysis is sensitive toward various fault severity based on the number of broken rotor bars.

APA, Harvard, Vancouver, ISO, and other styles

Yin, Jintian, Yongfang Xie, Tao Peng, Chunhua Yang, and Zhiwen Chen. "Current Characteristics Analysis and Fault Injection of an Early Weak Fault in Broken Rotor Bar of Traction Motor." Mathematical Problems in Engineering 2018 (October 10, 2018): 1–8. http://dx.doi.org/10.1155/2018/4934720.

Full text

Abstract:

Aiming at the destructive and irreversible problems of the broken rotor bar fault of the traction motor, the current characteristics of the early weak fault of the single bar are analyzed, and the broken rotor bar fault simulation injection is realized on the experimental platform. Firstly, a damage factor from the change rule of the metal resistance value of a rotor bar is defined. By means of such a damage factor, the relationship between the severity of the fracture of a single rotor bar and the phase resistance of the traction motor was obtained. Through the superposition principle, the traction motor in the fault of the rotor bar was regarded as a normal motor in which the reverse current source was superimposed on the fault rotor bar. The characteristic values of the stator current fault component were obtained when the single bar had broken. Finally, the relationship between the fault characteristics component of the stator current and the fracture severity of the single rotor bar was established. On this basis, on hardware-in-the-loop fault injection benchmark of the traction drive control system based on dSPACE, the gradual injection of early weak faults in the early broken rotor bar was carried out and the results were analyzed. The experimental data demonstrated the correctness of the current characteristics analysis and fault injection.

APA, Harvard, Vancouver, ISO, and other styles

Sun, Li Ling, and Kai Bin Chen. "Broken Rotor Bar Fault Detection Analysis." Advanced Materials Research 383-390 (November 2011): 1862–66. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1862.

Full text

Abstract:

Induction motor is widely applied to people's lives and production. This paper presents the simple and sophisticated of some methods which are used to diagnose the rotor fault. After analyzing the advantage and disadvantage of these methods, this paper tells what the key of rotor fault diagnosis of induction motor is, and put forward a new method.

APA, Harvard, Vancouver, ISO, and other styles

Goktas, Taner, and Müslüm Arkan. "Discerning broken rotor bar failure from low-frequency load torque oscillation in DTC induction motor drives." Transactions of the Institute of Measurement and Control 40, no. 1 (2016): 279–86. http://dx.doi.org/10.1177/0142331216654964.

Full text

Abstract:

This paper proposes a method for separation of broken rotor bar failures from low-frequency load torque oscillation in direct torque control (DTC) induction motor drives by using vq voltage and iq current components’ spectra. The effect of load torque oscillation should be considered in induction motor drives for reliable broken bar fault detection. Induction machine drivers are run in DTC mode to control its torque and speed. In practice, the presence of load torque fluctuation may sometimes cause false positive alarms on stator current spectrum. However, discerning of broken rotor bar failure from low-frequency load variation for DTC drives remains unexplored. Experimental results show that by using the proposed method broken rotor bar failure can be reliably detected in the presence of low-frequency load torque oscillation in DTC induction motor drives.

APA, Harvard, Vancouver, ISO, and other styles

Tan, Xing Wen. "Study on the Online Diagnosis System of Induction Motor with Broken Bar Fault Based on LabVIEW." Applied Mechanics and Materials 246-247 (December 2012): 765–71. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.765.

Full text

Abstract:

This paper addressed a new approach of online diagnosis of induction motor with broken bar fault based on advanced digital filtering, ZOOM-FFT and acquiring slip by Rotor Slot Harmonics (RSH) techniques, the slip rate is accurately estimated from the precise measurements of the harmonic components of rotor and the power supply frequency, which enables us find the characteristic spectrum of a rotor with broken bar from the stator current spectrum. Thus, the motor broken bar fault can be detected by checking the existence of the characteristic spectrum. The proposed method overcomes the drawback of traditional current spectral analysis approaches. In particular, this paper addresses the problem that the side lobe spectral components are covered by the fundamental frequency and the noises. And the reliability of the fault detection method is improved. The experiment results have shown that the improved method is able to detect small broken rotor bar fault with good application value.

APA, Harvard, Vancouver, ISO, and other styles

Salah, Lachtar, Ghoggal Adel, Koussa Khaled, Bouraiou Ahmed, and Attoui Issam. "Broken rotor bar fault diagnostic for DTC Fed induction motor using stator instantaneous complex apparent power envelope signature analysis." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (2019): 1187. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1187-1196.

Full text

Abstract:

The broken rotor bar is an unexpected fault and a common cause of induction motor failures that threaten the structural integrity of electric machines. In this paper, a new approach to a broken rotor bar diagnosis, without slip estimation, based on the envelope of the stator instantaneous complex apparent power (SICAP) is proposed. The envelope is obtained from the SICAP modulation and then transferred to a computer for monitoring the characteristic frequency and its amplitude using the Fast Fourier Transform (FFT). For this purpose, the winding function approach (WFA) is used to simulate the broken rotor bar occurrence in a squirrel cage induction motor (SCIM) fed on direct torque control (DTC). The obtained simulation results confirm the interest and efficiency of the proposed technique. Even when the induction motor is operating at the no-load level condition, the proposed method is also efficient to detect the broken rotor bar fault at low slip.

APA, Harvard, Vancouver, ISO, and other styles

Lachtar, Salah, Adel Ghoggal, Khaled Koussa, Ahmed Bouraiou, and Issam Attoui. "Broken rotor bar fault diagnostic for DTC fed induction motor using stator instantaneous complex apparent power envelope signature analysis." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1187–96. https://doi.org/10.11591/ijpeds.v10.i3.pp1187-1196.

Full text

Abstract:

APA, Harvard, Vancouver, ISO, and other styles

Sinaga, Robert, Julieta Christy, Donatus Dahang, et al. "Pengaruh Modifikasi dan Jumlah Alur dan Kecepatan Putar Rotor Bar Terhadap Produktivitas dan Hasil Pemecah Kemiri Sistem Ripple Mill." JURNAL AGROTEKNOSAINS 6, no. 1 (2022): 65. http://dx.doi.org/10.36764/ja.v6i1.749.

Full text

Abstract:

Advanced knowledge of candlenut deshelling machine is needed to obtain optimal whole round kernel. The objective of this study was to modify the rotor bar on a candlenut deshelling machine with a ripple mill system. The method was engineering or modification, were made in the form of processes and products. The number of grooves on the rotor bar was modified became 2, 4 and 6. Rotation speed of the rotor bar were varied to 15 rpm, 18.75 and 25 rpm. The number of grooves gave a very significant effect on the capacity of the machine, whole round kernel, broken kernel, sticky kernel and unbroken seeds. The rotational speed of the rotor bar gave a very significant effect on the capacity of the machine, broken kernel, and sticky kernel, and gave an insignificant effect on whole round kernel and broken kernel. Interaction between the number of grooves and the rotational speed of the rotor bar gave a very significant effect on the capacity of the machine and the sticky kernel and insignificant effect on the whole round kernel, crushed kernel and unbroken seeds.

APA, Harvard, Vancouver, ISO, and other styles

Valtierra-Rodriguez, Martin, Jesus R. Rivera-Guillen, Jesus A. Basurto-Hurtado, J. Jesus De-Santiago-Perez, David Granados-Lieberman, and Juan P. Amezquita-Sanchez. "Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors." Sensors 20, no. 13 (2020): 3721. http://dx.doi.org/10.3390/s20133721.

Full text

Abstract:

Although induction motors (IMs) are robust and reliable electrical machines, they can suffer different faults due to usual operating conditions such as abrupt changes in the mechanical load, voltage, and current power quality problems, as well as due to extended operating conditions. In the literature, different faults have been investigated; however, the broken rotor bar has become one of the most studied faults since the IM can operate with apparent normality but the consequences can be catastrophic if the fault is not detected in low-severity stages. In this work, a methodology based on convolutional neural networks (CNNs) for automatic detection of broken rotor bars by considering different severity levels is proposed. To exploit the capabilities of CNNs to carry out automatic image classification, the short-time Fourier transform-based time–frequency plane and the motor current signature analysis (MCSA) approach for current signals in the transient state are first used. In the experimentation, four IM conditions were considered: half-broken rotor bar, one broken rotor bar, two broken rotor bars, and a healthy rotor. The results demonstrate the effectiveness of the proposal, achieving 100% of accuracy in the diagnosis task for all the study cases.

APA, Harvard, Vancouver, ISO, and other styles

Chouidira, Ibrahim, Djalal Eddine Khodja, and Hani Benguesmia. "Detection and Diagnosis faults in Machine asynchronous based on single processing." International Journal of Energetica 4, no. 1 (2019): 11. http://dx.doi.org/10.47238/ijeca.v4i1.89.

Full text

Abstract:

In this work, we proposed multi-winding model for the simulation of broken bars in squirrel cage asynchronous machine, this model allows to study the influence of the broken bar defects on the behavior general of machines in different operating conditions (healthy and faulty). The breaking of the most frequent bars of the rotor causes oscillations of the torque, speed, and the current, the increase of the resistance of the rotor creates the defects proportional with the number of breaks bar K .The diagnosis fault using technique of single processing based on Spectrum analysis for detection broken bar. The results of the simulation obtained allowed us to show the importance of this technique for detection broken bar.

APA, Harvard, Vancouver, ISO, and other styles

Wu, Yucai, Shuqiong Sun, Qingfei An, and Xu Lie. "Treatment Strategy Research on a Squirrel-Cage Induction Motor with Broken Rotor Bar Faults." Sensors 22, no. 12 (2022): 4345. http://dx.doi.org/10.3390/s22124345.

Full text

Abstract:

Squirrel-cage induction motors are increasingly displaying a broken rotor bar fault, which represents both a technical problem and an economic problem. After confirming that the broken rotor bars do not affect the normal start-up and basic working performance of the squirrel-cage induction motor, this paper focuses on the loss and efficiency changes of the motor brought about by the broken rotor bar fault. Using finite element simulation and experimentation, various losses like stator copper loss, iron loss, rotor copper loss, mechanical loss and additional losses, total loss and efficiency are obtained. By combining price and cost factors, the cost-effective measures that can be taken after the occurrence of different degrees of broken bars are evaluated here to provide guidance for correctly handling this problem.

APA, Harvard, Vancouver, ISO, and other styles

Wang, Jinjiang, Robert X. Gao, and Ruqiang Yan. "Broken-Rotor-Bar Diagnosis for Induction Motors." Journal of Physics: Conference Series 305 (July 19, 2011): 012026. http://dx.doi.org/10.1088/1742-6596/305/1/012026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Souza, Mateus Ventura, José Claudeni Oliveira Lima, Alexandre Magno Pinto Roque, and Douglas Bressan Riffel. "A Novel Algorithm to Detect Broken Bars in Induction Motors." Machines 9, no. 11 (2021): 250. http://dx.doi.org/10.3390/machines9110250.

Full text

Abstract:

A new algorithm is proposed in order to detect and quantify partially broken bars in induction motors during start-up without load. In the qualification process, no threshold is used. It uses the principle of the harmonic generated by the broken bar in the stator current, it should vary with the slip to confirm the failure and provide more security in the diagnosis. A severity index is also proposed, based on the maximum peaks of the Teager energy operator of the Gaussian filter applied in the stator current signal. Experimental data were used to validate the algorithm, comparing rotors manufactured with one partially bar, one failed bar, and two completely failed bars, arranged in a variety of ways. The results show that the algorithm qualifies correctly the faulty bar, even for a partially broken bar. In the quantification phase, the severity index of the fault shows the higher sensibility in comparison to the state-of-the-art. Its value for a 3 HP motor is: 8.837 × 10−10 for a healthy rotor, 2.553 × 10−8 for a partially broken bar, and 4.058 × 10−7 for one broken bar.

APA, Harvard, Vancouver, ISO, and other styles

Wu, Qiao Shan. "Breaks Strip Breakdown with the Parameter Identification Law Diagnosis Mouse Cage Asynchronous Motor Rotor." Applied Mechanics and Materials 291-294 (February 2013): 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2549.

Full text

Abstract:

According to the three-phase squirrel-cage asynchronous motor rotor broken bar fault, presented with parameters identification method of asynchronous motor parameter identification to monitoring and diagnosis of rotor resistance variation of rotor bar breaking principle. Choose a three-phase squirrel-cage asynchronous motor in three working points of experiments, results show that the method is correct and feasible. This method is based on the three-phase squirrel-cage asynchronous motor steady state model parameter equation, using the method of least squares identification parameters, and consider the effects of temperature on the parameters, by the parameter variation in diagnosis of broken rotor bar fault. Advantages of simple scientific method, this method can also be used in conjunction with other methods and, on the three-phase squirrel-cage asynchronous motor rotor has no fault diagnosis.

APA, Harvard, Vancouver, ISO, and other styles

Xie, Ying, Jinpeng Guo, Peng Chen, and Zhiwei Li. "Coupled Fluid-Thermal Analysis for Induction Motors with Broken Bars Operating under the Rated Load." Energies 11, no. 8 (2018): 2024. http://dx.doi.org/10.3390/en11082024.

Full text

Abstract:

Thermal stress of the rotor in a squirrel cage induction motor is generated due to the temperature rise, it is also one of the factors causing the broken bar fault because the structure of the rotor would be destroyed if the stress of the rotor bars exceed the strength limit. The coupled fluid-thermal analysis for the induction motor with healthy and broken bar rotors is performed in this paper. Much concern has been committed to establishment of the fluid model on the basis of computational fluid dynamic (CFD) theory. The heat field of the prototypes is analysed so that the effect of the asymmetrical rotor on the motor heat performance can be investigated in depth. Eventually, the efficiency of the presented model and method, for the totally enclosed fan cooled (TEFC) induction motor, can be verified through experimental results. In addition, this paper reports a quantitative analysis of the heat flux distribution of the fault rotor, and the heat flux density of the bars is investigated in detail. Then, the part most likely to break in the rotor as a result of the thermal load is identified.

APA, Harvard, Vancouver, ISO, and other styles

Li, Yong Xin, Ya Fei Wang, Xing Lai Ge, and Yang Lu. "Characteristic Performance Analysis of Traction Motor on EMU with Broken Bars Using FEM." Advanced Materials Research 1061-1062 (December 2014): 841–48. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.841.

Full text

Abstract:

The calculation model of motor operating on asymmetric rotor was defined taking a traction squirrel-cage induction motor in Electric Multiple Units (EMU) as sample. Based on the basic principle of numerical analysis, magnetic field in the motor and current in the bar were calculated for both normal motor and broken-bar motor by using the Jmag software, and both the magnetic field variation and current variation in the bar were summed up. According to the EMU’s special control methods, the motor with two broken bars was simulated at different work point, and the characteristic component variation was presented. The works in this paper lay the foundation of diagnosis method for broken rotor bar fault, especially for traction motor in EMU.

APA, Harvard, Vancouver, ISO, and other styles

Liu, Xiaopeng, Jianfeng Hong, Kang Zhao, Bingxiang Sun, Weige Zhang, and Jiuchun Jiang. "Vibration Analysis for Fault Diagnosis in Induction Motors Using One-Dimensional Dilated Convolutional Neural Networks." Machines 11, no. 12 (2023): 1061. http://dx.doi.org/10.3390/machines11121061.

Full text

Abstract:

Motor faults not only damage the motor body but also affect the entire production system. When the motor runs in a steady state, the characteristic frequency of the fault current is close to the fundamental frequency, so it is difficult to effectively extract the fault current components, such as the broken rotor bar. In this paper, according to the characteristics of electromagnetic force and vibration, when the rotor eccentricity and the broken bar occur, the vibration signal is used to analyze and diagnose the fault. Firstly, the frequency, order, and amplitude characteristics of electromagnetic force under rotor eccentricity and broken bar fault are analyzed. Then, the fault vibration acceleration value collected by a one-dimensional dilated convolution pair is extracted, and the SeLU activation function and residual connection are introduced to solve the problem of gradient disappearance and network degradation, and the fault motor model is established by combining average ensemble learning and SoftMax multi-classifier. Finally, experiments of normal rotor eccentricity and broken bar faults are carried out on 4-pole asynchronous motors. The experimental results show that the accuracy of the proposed method for motor fault detection can reach 99%, which meets the requirements of fault motor detection and is helpful for further application.

APA, Harvard, Vancouver, ISO, and other styles

Nemec, Mitja, Vanja Ambrožič, Rastko Fišer, David Nedeljković, and Klemen Drobnič. "Induction Motor Broken Rotor Bar Detection Based on Rotor Flux Angle Monitoring." Energies 12, no. 5 (2019): 794. http://dx.doi.org/10.3390/en12050794.

Full text

Abstract:

This paper presents a method for the detection of broken rotor bars in an induction motor. After introducing a simplified dynamic model of an induction motor with broken cage bars in a rotor field reference frame which allows for observation of its internal states, a fault detection algorithm is proposed. Two different motor estimation models are used, and the difference between their rotor flux angles is extracted. A particular frequency component in this signal appears only in the case of broken rotor bars. Consequently, the proposed algorithm is robust enough to load oscillations and/or machine temperature change, and also indicates the fault severity. The method has been verified at different operating points by simulations as well as experimentally. The fault detection is reliable even in cases where traditional methods give ambiguous verdicts.

APA, Harvard, Vancouver, ISO, and other styles

Kathir, I., S. Balakrishnan, and B. V. Manikandan. "Broken Rotor Bar Detection Using High Frequency Loss Calculation of Induction Motor." Applied Mechanics and Materials 573 (June 2014): 728–33. http://dx.doi.org/10.4028/www.scientific.net/amm.573.728.

Full text

Abstract:

This paper proposes a technique for the identification of defects of three-phase squirrel cage induction motors. Simulations were performed using ANSYS finite element software package to obtain the flux density waveform in the air gap. Broken rotor bar fault was simulated by breaking rotor bars to see how the flux density is affected. In this paper, a new approach for the identification of broken rotor bar based on the calculation of high-frequency losses in induction motors is presented. The approach presented in this paper requires little time for loss calculation and fault identification.

APA, Harvard, Vancouver, ISO, and other styles

Abdi Monfared, Omid, Aref Doroudi, and Amin Darvishi. "Diagnosis of rotor broken bars faults in squirrel cage induction motor using continuous wavelet transform." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (2019): 167–82. http://dx.doi.org/10.1108/compel-11-2017-0487.

Full text

Abstract:

Purpose Squirrel cage induction motors suffer from several faults such as rotor broken bar. One of the powerful methods to detect induction motor faults is the line current signature analysis. This paper aims to present a novel algorithm based on continuous wavelet transform (CWT) to diagnose a rotor broken bar fault. Design/methodology/approach The proposed CWT has high flexibility in monitoring any frequency of interest in a waveform. Based on this transform, stator current frequency spectrum is analyzed to diagnose the rotor broken bar fault. The algorithm distinguishes the healthy motor from the faulted one based on a proper index. The method can be used in steady-state running time of induction motor and under different loading conditions. Experimental results are presented to show the validity of the proposed approach. Findings The proposed index considerably increases at the broken bars conditions compared to the healthy conditions. It can clearly diagnose the faulty conditions. The experimental results are found to be in good agreement with the theoretical and simulated results. The proposed method can reduce the noise and spectral leakage effects. Originality/value The main contribution of the paper are as follows: using CWT for detection of broken bar faults; introducing a proper index for diagnosing broken bars; and introducing a supplementary index to reduce the noise and spectral leakage effects.

APA, Harvard, Vancouver, ISO, and other styles

En, De, Xiao Long Shi, Huang He Wei, Na Na Wei, and Chang Sheng Zhou. "Adaptive Filter with Multiple-Scale Decomposition Rotor Broken Bars in Induction Fault Diagnosis." Applied Mechanics and Materials 273 (January 2013): 428–33. http://dx.doi.org/10.4028/www.scientific.net/amm.273.428.

Full text

Abstract:

There is a very small additional current component of frequency in the stator current signal when motor has broken rotor bars.So adaptive notch filter is applied to process the signals of the stator current in induction motors.The variable step size LMS algorithm and the multiple-scale wavelet transform are merged into the adaptive filtering system.A method is proposed, that is a LMS adaptive filtering algorithm with modified variable step size based on multiple-scale wavelet transform(MSWT-MVSS-LMS).It can eliminate interference from power frequency component to frequency component of broken rotor bar and achieve precise identification to frequency component of broken rotor bar from FFT.The result is a great help to extract the feature component of rotor fault and improve the sensitivity of fault diagnosis.The simulation show that the method is valid and effective.

APA, Harvard, Vancouver, ISO, and other styles

Trujillo Guajardo, Luis Alonso, Miguel Angel Platas Garza, Johnny Rodríguez Maldonado, Mario Alberto González Vázquez, Luis Humberto Rodríguez Alfaro, and Fernando Salinas Salinas. "Prony Method Estimation for Motor Current Signal Analysis Diagnostics in Rotor Cage Induction Motors." Energies 15, no. 10 (2022): 3513. http://dx.doi.org/10.3390/en15103513.

Full text

Abstract:

This article presents an evaluation of Prony method and its implementation considerations for motor current signal analysis diagnostics in rotor cage induction motors. The broken rotor bar fault signature in current signals is evaluated using Prony method, where its advantages in comparison with fast Fourier transform are presented. The broken rotor bar fault signature could occur during the life cycle operation of induction motors, so that is why an effective early detection estimation technique of this fault could prevent an insulation failure or heavy damage, leaving the motor out of service. First, an overview of cage winding defects in rotor cage induction motors is presented. Next, Prony method and its considerations for the implementation in current signature analysis are described. Then, the performance of Prony method using numerical simulations is evaluated. Lastly, an assessment of Prony method as a tool for current signal analysis diagnostics is performed using a laboratory test system where real signals of an induction motor with broken rotor bar operated with/without a variable frequency drive are analyzed. The summary results of the estimation (amplitudes and frequencies) are presented in the results and discussion section.

APA, Harvard, Vancouver, ISO, and other styles

Ágoston, Katalin. "Studying and Simulating the Influence of the Rotor Fault on Stator Current." Acta Marisiensis. Seria Technologica 17, no. 1 (2020): 17–21. http://dx.doi.org/10.2478/amset-2020-0004.

Full text

Abstract:

AbstractThis paper presents fault detection techniques, especially the motor current signature analysis (MCSA) which consists of the phase current measurement of the electrical motor’s stator and/or rotor. The motor current signature analysis consists in determining the frequency spectrum (FFT) of the stator current signal and evaluating the relative amplitude of the current harmonics. Sideband frequencies appear in the frequency spectrum of the current, corresponding to each fault. The broken bar is a frequent fault in induction motors with squirrel-cage rotor. It is presented the equivalent circuit for induction motors and the equivalence between the squirrel-cage rotor and the rotor windings. It is also presented an equivalent circuit model for induction motors with squirrel cage rotor, and based on this a Simulink model was developed. It is shown how a broken rotor bar influences the magnetic field around the rotor and through this the stator current. This modification is highlighted through the developed model.

APA, Harvard, Vancouver, ISO, and other styles

Dorji, Chenga, and Jamyang Choda. "Broken Rotor Bar Fault Detection in Induction Motors Using Motor Current Signature Analysis (MCSA)." Journal of Applied Engineering, Technology and Management 5, no. 1 (2025): 26–44. https://doi.org/10.54417/jaetm.v5i1.147.

Full text

Abstract:

Induction motors are commonly used in various industrial applications due to their reliability and robustness. However, they are susceptible to faults that can compromise their performance and efficiency. One of the common faults encountered in induction motors is Broken Rotor Bars, which can lead to rotor imbalance, increase vibration, and reduce the efficiency of the motor. Detecting and diagnosing this fault is critical to ensure the proper operation of the motors for industrial purposes and prevent costly downtime. This paper investigates the comparative current signature analysis of Broken Rotor Bar (BRB) fault detection in induction motors using different windowing functions. The study explores the effectiveness of various windowing functions including Hanning, Hamming, Blackman, and Flattop, in enhancing the analysis of stator current signals for fault detection purposes. The analysis is conducted using Fast Fourier Transform (FFT) techniques. The findings provide insights into the impact of windowing functions on fault detection performance and suitability for motor maintenance applications, specifically in detecting faults such as broken rotor bar faults in induction motors.

APA, Harvard, Vancouver, ISO, and other styles

Xie, Ying, Ze Wang, Xueting Shan, and Yangyang Li. "Investigation of rotor thermal stress in squirrel cage induction motor with broken bar faults." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 5 (2016): 1865–86. http://dx.doi.org/10.1108/compel-10-2015-0372.

Full text

Abstract:

Purpose Thermal stress of the rotor in a squirrel cage induction motor is generated due to the temperature rise, and the structure of the rotor will be destroyed if the stress acted on the rotor exceeds its limits, so the thermal stress is also one of the main causes led to broken bar fault. The purpose of this paper is to report the thermal stress coupled analysis for the induction motor with healthy and faulty rotor, and to find the variation tendency of the temperature and thermal stress due to broken bars, and the part most likely to break in the rotor as a result of the thermal stress load are identified. Design/methodology/approach The steady temperature and thermal stress of the rotor in the case of the healthy and faulty conditions are calculated by finite element method, and the 3D model of the motor used in the experiments is established and the experimental results are presented for both healthy and faulty machines. Findings The influence of the broken bars fault on the motor thermal profile and thermal stress can be found, and it explains why the breaking point always appears in the joint of the bars and end rings. Originality/value The paper presents the 3D thermal stress coupled model and performance characteristics of induction motor with broken bars. The reasonable constraint is established according to the contact of components each other, and more reasonable fracture location is selected. The results obtained by the simulation model are in a good agreement with practical situation, because the effect of skewed rotor were taken into consideration in the process of simulation.

APA, Harvard, Vancouver, ISO, and other styles

Bannov, D. M., and V. I. Polishchuk. "Method of processing signals of stator currents of induction motor to diagnose broken rotor bar." Vestnik IGEU, no. 4 (August 31, 2024): 64–72. http://dx.doi.org/10.17588/2072-2672.2024.4.064-072.

Full text

Abstract:

The study is relevant due to high requirements to the reliability of the operation of auxiliary mechanisms of thermal power plants (TPP). The main source of mechanical power of auxiliary mechanisms of TPPs is high-voltage induction motor with squirrel cage rotor (IMSC). One of the most difficult causes of emergency shutdown to detect early is a broken rotor bar. The breakage of IMSC rotor bar is of latent character. It can be for a long time without considerable influence on the machine operation mode. Nevertheless, the fact of the breakage can be considered as an emergency condition of IMSC, and the consequences of leaving the groove of the magnetic core are irreversible. Scientifically, early diagnostics of IMSC rotor bars breakage of TPP auxiliary needs is both a difficult and extremely urgent task. The existing methods of diagnostics of such damage are based on measurement and analysis of vibration and acoustic physical quantities. The most common electrical parameter, used as a source of information, as a rule, is current consumption. And most of methods are based on Fourier analysis. The purpose of the study is to develop a mathematical algorithm to process digitized curves of stator phase currents to diagnose high-voltage IMSC. The theory of electric machines, the method of analytical approximation of experimental data, the method of regression analysis have been used to solve the problem. Experimental data is obtained, and testing of the algorithm is conducted on an experimental installation with a 0,4 kV induction motor with a modified design of the active part of the rotor developed for physical simulation of IMSC broken rotor bar. This paper proposes a new method of digital processing of stator current signals based on the regression analysis method for diagnostics of IMSC rotor winding. The authors have developed an algorithm for mathematical processing of digitized stator current curves based on regression analysis in the cosine-sine basis to identify the diagnostic sign of failure of one rotor bar of IMSC rotor. The authors have determined the number of harmonic components that best describe the initial signal from the point of view of the balance between saving computational resources and accuracy of approximation. A mathematical algorithm to detect the rotor bar breakage of an induction motor based on regression analysis of stator currents has been obtained and tested. It allows to detect rotor circuit damage with 97 % accuracy. At the same time the diagnostic sign changes its level when one bar breaks by 5 %. It is recommended to adapt the algorithm to the programming languages of microprocessor relay protection units.

APA, Harvard, Vancouver, ISO, and other styles

Bejaoui, Islem, Dario Bruneo, and Maria Gabriella Xibilia. "Remaining Useful Life Prediction of Broken Rotor Bar Based on Data-Driven and Degradation Model." Applied Sciences 11, no. 16 (2021): 7175. http://dx.doi.org/10.3390/app11167175.

Full text

Abstract:

Rotating machines such as induction motors are crucial parts of most industrial systems. The prognostic health management of induction motor rotors plays an essential role in increasing electrical machine reliability and safety, especially in critical industrial sectors. This paper presents a new approach for rotating machine fault prognosis under broken rotor bar failure, which involves the modeling of the failure mechanism, the health indicator construction, and the remaining useful life prediction. This approach combines signal processing techniques, inherent metrics, and principal component analysis to monitor the induction motor. Time- and frequency-domains features allowing for tracking the degradation trend of motor critical components that are extracted from torque, stator current, and speed signals. The most meaningful features are selected using inherent metrics, while two health indicators representing the degradation process of the broken rotor bar are constructed by applying the principal component analysis. The estimation of the remaining useful life is then obtained using the degradation model. The performance of the prediction results is evaluated using several criteria of prediction accuracy. A set of synthetic data collected from a degraded Simulink model of the rotor through simulations is used to validate the proposed approach. Experimental results show that using the developed prognostic methodology is a powerful strategy to improve the prognostic of induction motor degradation.

APA, Harvard, Vancouver, ISO, and other styles

Kabul, Ahmet, and Abdurrahman Ünsal. "Detection of broken rotor bars of induction motors based on the combination of Hilbert envelope analysis and Shannon entropy." tm - Technisches Messen 88, no. 1 (2021): 45–58. http://dx.doi.org/10.1515/teme-2020-0066.

Full text

Abstract:

Abstract Broken rotor bar (BRB) is one of the most common fault types of induction motors. One of the common methods to detect the broken rotor bars is the observation of the characteristic sideband frequencies in the stator current. If the motor is lightly loaded, the sideband harmonics are attached to the fundamental frequency of the main supply and the amplitudes of these harmonics are quite low. Therefore, it is difficult to detect the broken rotor bars under light loading conditions by using conventional motor current signature analysis (MCSA) methods. Moreover, in some cases, the sideband harmonics of fundamental frequency may exist although there is no rotor fault in induction motors due to load oscillations. Therefore, there is a risk for false broken rotor bars alarm with the existence of lower amplitude of harmonics. This paper provides an alternative approach for the detection of broken rotor bars by applying Hilbert envelope analysis along with Shannon entropy to stator current signals. The proposed method includes two-stage evaluation system to eliminate false BRB alarms such as detecting sidebands from envelope spectrum and calculating entropy rates from envelope signals. The results are verified experimentally under 25 %, 50 %, 75 % and 100 % loading conditions.

APA, Harvard, Vancouver, ISO, and other styles

Ferrucho-Alvarez, Edna Rocio, Ana Laura Martinez-Herrera, Eduardo Cabal-Yepez, Carlos Rodriguez-Donate, Misael Lopez-Ramirez, and Ruth Ivonne Mata-Chavez. "Broken Rotor Bar Detection in Induction Motors through Contrast Estimation." Sensors 21, no. 22 (2021): 7446. http://dx.doi.org/10.3390/s21227446.

Full text

Abstract:

Induction motors (IM) are key components of any industrial process; hence, it is important to carry out continuous monitoring to detect incipient faults in them in order to avoid interruptions on production lines. Broken rotor bars (BRBs), which are among the most regular and most complex to detect faults, have attracted the attention of many researchers, who are searching for reliable methods to recognize this condition with high certainty. Most proposed techniques in the literature are applied during the IM startup transient, making it necessary to develop more efficient fault detection techniques able to carry out fault identification during the IM steady state. In this work, a novel methodology based on motor current signal analysis and contrast estimation is introduced for BRB detection. It is worth noting that contrast has mainly been used in image processing for analyzing texture, and, to the best of the authors’ knowledge, it has never been used for diagnosing the operative condition of an induction motor. Experimental results from applying the approach put forward validate Unser and Tamura contrast definitions as useful indicators for identifying and classifying an IM operational condition as healthy, one broken bar (1BB), or two broken bars (2BB), with high certainty during its steady state.

APA, Harvard, Vancouver, ISO, and other styles

Taher, Seyed Abbas, and Majid Malekpour. "A Novel Technique for Rotor Bar Failure Detection in Single-Cage Induction Motor Using FEM and MATLAB/SIMULINK." Mathematical Problems in Engineering 2011 (2011): 1–14. http://dx.doi.org/10.1155/2011/620689.

Full text

Abstract:

In this article, a new fault detection technique is proposed for squirrel cage induction motor (SCIM) based on detection of rotor bar failure. This type of fault detection is commonly carried out, while motor continues to work at a steady-state regime. Recently, several methods have been presented for rotor bar failure detection based on evaluation of the start-up transient current. The proposed method here is capable of fault detection immediately after bar breakage, where a three-phase SCIM is modelled in finite element method (FEM) using Maxwell2D software. Broken rotor bars are then modelled by the corresponding outer rotor impedance obtained by GA, thereby presenting an analogue model extracted from FEM to be simulated in a flexible environment such as MATLAB/SIMULINK. To improve the failure recognition, the stator current signal was analysed using discrete wavelet transform (DWT).

APA, Harvard, Vancouver, ISO, and other styles

Tang, Jing, Jie Chen, Kan Dong, Yongheng Yang, Haichen Lv, and Zhigang Liu. "Modeling and Evaluation of Stator and Rotor Faults for Induction Motors." Energies 13, no. 1 (2019): 133. http://dx.doi.org/10.3390/en13010133.

Full text

Abstract:

The modeling of stator and rotor faults is the basis of the development of online monitoring techniques. To obtain reliable stator and rotor fault models, this paper focuses on dynamic modeling of the stator and rotor faults in real-time, which adopts a multiple-coupled-circuit method by using a winding function approach for inductance calculation. Firstly, the model of the induction machine with a healthy cage is introduced, where a rotor mesh that consists of a few rotor loops and an end ring loop is considered. Then, the stator inter-turn fault model is presented by adding an extra branch with short circuit resistance on the fault part of a stator phase winding. The broken rotor bar fault is then detailed by merging and removing the broken-bar-related loops. Finally, the discrete models under healthy and faulty conditions are developed by using the Tustin transformation for digital implementation. Moreover, the stator and rotor mutual inductances are derived as a function of the rotor position according to the turn and winding functions distribution. Simulations and experiments are performed on a 2.2-kW/380-V/50-Hz three-phase and four-pole induction motor to show the performance of the stator and rotor faults, where the saturation effect is considered in simulations by exploiting the measurements of a no load test. The simulation results are in close agreement with the experimental results. Furthermore, magnitudes of the characteristic frequencies of 2f1 in torque and (1 ± 2s)f1 in current are analyzed to evaluate the stator and rotor fault severity. Both indicate that the stator fault severity is related to the short circuit resistance. Further, the number of shorted turns and the number of continuous broken bars determines the rotor fault severity.

APA, Harvard, Vancouver, ISO, and other styles

Wang, Tianyi, Shiguang Wen, Shaotong Sheng, and Huimin Ma. "Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network." Actuators 14, no. 3 (2025): 113. https://doi.org/10.3390/act14030113.

Full text

Abstract:

Motor fault detection plays a vital role in industrial maintenance. Timely detection of faults in their early stages can prevent catastrophic consequences and reduce maintenance costs. Traditional methods face challenges in motor broken rotor bar (BRB) detection: model-driven methods are difficult to apply accurately in complex and changing environments, while data-driven methods usually require sophisticated feature extraction and classification processes. In this paper, we propose a novel non-invasive fault detection method. The method preprocesses motor currents by Hilbert-Huang Transform (HHT) and Park’s Vector Modulus (PVM) and then uses a merged convolutional neural network (CNN) for classification. This experiment investigates the detection of broken rotor bars of motors with different loads (25%, 50%, 75%, and 100% of rated load) and different fault levels (Normal, 1BRB, 2BRB, 3BRB, and 4BRB). The results show that the model’s classification accuracy exceeds 95% under various operating conditions and can maintain high accuracy under low load conditions, thus addressing the limitations faced by existing methods. In addition, it is computationally efficient and can guarantee high real-time performance. This method combines advanced signal processing techniques and deep learning algorithms to provide a practical solution for motor broken rotor bar detection.

APA, Harvard, Vancouver, ISO, and other styles

Rayyam, Marouane, and Malika Zazi. "A novel metaheuristic model-based approach for accurate online broken bar fault diagnosis in induction motor using unscented Kalman filter and ant lion optimizer." Transactions of the Institute of Measurement and Control 42, no. 8 (2019): 1537–46. http://dx.doi.org/10.1177/0142331219892142.

Full text

Abstract:

This paper introduces a novel metaheuristic model-based scheme for fault monitoring in squirrel cage induction motors (SCIMs). This method relies on the combination of the ant lion optimizer (ALO) and the unscented Kalman filter (UKF) to detect and quantify the number of broken bars. Contrary to the UKF-based fault diagnosis, the improved ALO-UKF algorithm tunes optimally and automatically the noise covariance matrices Q and R, which reduces the estimation errors, and then obtains an effective and accurate fault diagnosis. Firstly, a mathematical model of the fault under study has been developed based on rotor parameter value as signature. Secondly, a sixth order ALO-UKF algorithm has been synthesized for simultaneous estimation of rotor resistance and speed. Several broken bar fault conditions have been simulated. Simulation results show the effectiveness and robustness of the proposed ALO-UKF scheme in broken bar detection and identification, and exhibit a more superior performance than the simple-UKF and EKF algorithms in term of stability, accuracy and response time.

APA, Harvard, Vancouver, ISO, and other styles

Baccarini, Lane Maria Rabelo, João Paulo Braga Tavares, Benjamim Rodrigues de Menezes, and Walmir Matos Caminhas. "Sliding mode observer for on-line broken rotor bar detection." Electric Power Systems Research 80, no. 9 (2010): 1089–95. http://dx.doi.org/10.1016/j.epsr.2010.02.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Kołodziejek, Piotr, and Elżbieta Bogalecka. "Broken rotor bar impact on sensorless control of induction machine." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 28, no. 3 (2009): 540–55. http://dx.doi.org/10.1108/03321640910940837.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Bannov, D. M. "ANALYSIS OF METHODS FOR DIAGNOSTICS BROKEN ROTOR BAR OF INDUCTION MOTOR." Electrical and data processing facilities and systems 17, no. 3-4 (2021): 5–23. http://dx.doi.org/10.17122/1999-5458-2021-17-3-4-5-23.

Full text

Abstract:

Relevance Uninterrupted operation of industrial facilities, oil and gas sector, metallurgy, power generation and other industries directly depends on reliable operation of critical mechanisms driven by electromechanical converters, operated as a part of working complexes. Reliability of operation of such mechanisms depends on reliability of all elements that make up the technological process. Inductions motor with squirrel-cage rotor (including high-voltage motors) is one of the most common types of converters of electrical energy into mechanical energy. Its uninterrupted operation directly depends on the reliability of two main elements: stator and rotor. If the causes of induction motor failure due to stator causes (inter-turn, inter-phase and single-phase short circuits) are determined by the provided protections, the damage in the rotor circuit can be implicit and exist for a long time, violating the machine uptime. Also, most of the faults in the inductions motor, leading to an emergency shutdown of technological processes of working complexes have their own history of development. At the moment of occurrence and during the period when the defect does not affect the serviceability of the machine, but its operation becomes critically dangerous, because it is not possible to determine the presence of the defect. So, for example, the breakage of the short-circuited rotor core of a high-voltage induction motor manifests itself at the stage of exit to the air gap at the time of operation, with subsequent damage to the stator winding and the magnetic core. In this case, the existence of this defect took place within a certain period of time, sufficient for its detection by means of diagnostic devices. The article analyzes the currently developed systems for diagnosing the presence of a fault according to various parameters (temperature, noise, vibration, analysis of electrical values consumed) both in the stator and in the rotor. It is determined that the most promising and technically feasible are methods based on the analysis of stator currents. When studying the works in the direction of inductions motor diagnostics it was found that a significant proportion of failures of mechanisms operated in the working complexes due to failure of inductions motor occurs due to broken rotor bar. Aim of research Analyze the existing methods for diagnosing induction motors during operation. Research methods The article used general scientific research methods: the method of analysis of literary sources, the study and generalization of information, comparison, classification. Results The analysis of existing methods of continuous diagnostics of induction motors for internal electrical and mechanical damage is carried out. It has been determined that the most promising from the point of view of economic and technical feasibility are methods based on the analysis of currents consumed by the stator.

APA, Harvard, Vancouver, ISO, and other styles

Abu Ibaid, O. Z. I., S. Belhamdi, M. Abid, S. Chakroune, S. Mouassa, and Z. S. Al-Sagar. "Wavelet packet analysis for rotor bar breakage in an inverter induction motor." Electrical Engineering & Electromechanics, no. 3 (April 23, 2023): 3–11. http://dx.doi.org/10.20998/2074-272x.2023.3.01.

Full text

Abstract:

Introduction. In various industrial processes, squirrel cage induction motors are widely employed. These motors can be used in harsh situations, such as non-ventilated spaces, due to their high strength and longevity. These machines are subject to malfunctions such as short circuits and broken bars. Indeed, for the diagnosis several techniques are offered and used. Novelty of the proposed work provides the use of wavelet analysis technology in a continuous and discrete system to detect faults affecting the rotating part of an induction motor fed by a three-phase inverter. Purpose. This paper aims to present a novel technique for diagnosing broken rotor bars in the low-load, stationary induction machine proposed. The technique is used to address the problem of using the traditional Techniques like Fourier Transforms signal processing algorithm by analyzing the stator current envelope. The suggested method is based on the use of discrete wavelet transform and continuous wavelet transform. Methods. A waveform can be monitored at any frequency of interest using the suggested discrete wavelet transform and continuous wavelet transform. To identify the rotor broken bar fault, stator current frequency spectrum is analyzed and then examined. Based on a suitable index, the algorithm separates the healthy motor from the defective one, with 1, 2 and 3 broken bars at no-load. Results. In comparison to the healthy conditions, the recommended index significantly raises under the broken bars conditions. It can identify the problematic conditions with clarity. The possibility of detecting potential faults has been demonstrated (broken bars), using discrete wavelet transform and continuous wavelet transform. The diagnostic method is adaptable to temporary situations brought on by alterations in load and speed. Performance and efficacy of the suggested diagnostic method are demonstrated through simulation in Simulink® MATLAB environment.

APA, Harvard, Vancouver, ISO, and other styles

Misra, Sajal, Satish Kumar, Sameer Sayyad, et al. "Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data." Sensors 22, no. 21 (2022): 8210. http://dx.doi.org/10.3390/s22218210.

Full text

Abstract:

The induction motor plays a vital role in industrial drive systems due to its robustness and easy maintenance but at the same time, it suffers electrical faults, mainly rotor faults such as broken rotor bars. Early shortcoming identification is needed to lessen support expenses and hinder high costs by using failure detection frameworks that give features extraction and pattern grouping of the issue to distinguish the failure in an induction motor using classification models. In this paper, the open-source dataset of the rotor with the broken bars in a three-phase induction motor available on the IEEE data port is used for fault classification. The study aims at fault identification under various loading conditions on the rotor of an induction motor by performing time, frequency, and time-frequency domain feature extraction. The extracted features are provided to the models to classify between the healthy and faulty rotors. The extracted features from the time and frequency domain give an accuracy of up to 87.52% and 88.58%, respectively, using the Random-Forest (RF) model. Whereas, in time-frequency, the Short Time Fourier Transform (STFT) based spectrograms provide reasonably high accuracy, around 97.67%, using a Convolutional Neural Network (CNN) based fine-tuned transfer learning framework for diagnosing induction motor rotor bar severity under various loading conditions.

APA, Harvard, Vancouver, ISO, and other styles

Baranov, Georgii D., Erivelton G. Nepomuceno, Michail A. Vaganov, Valerii Y. Ostrovskii, and Denis N. Butusov. "New Spectral Markers for Broken Bars Diagnostics in Induction Motors." Machines 8, no. 1 (2020): 6. http://dx.doi.org/10.3390/machines8010006.

Full text

Abstract:

The paper discusses the spectral markers of fault rotor bars in induction motor current signature analysis (MCSA). The results of the simulation of the deterioration process for a single rotor bar, as well as the results of research for various mutual bracing of two broken bars, are reported. We proposed a simple empiric technique allowing one to obtain frequencies for spectrum markers of damaged rotor bars based on simulation analysis. The set of frequencies obtained in the experimental part of the study was compared with simulation results and the results of real-life measurements. The theoretical results were verified through the experiment with the real induction motor under load. Analysis of experimental results proved that the given algorithm for spectrum analysis is suitable for early detection of fault rotor bars in induction motors.

APA, Harvard, Vancouver, ISO, and other styles

O., Z. I. Abu Ibaid, Belhamdi S., Abid M., Chakroune S., Mouassa S., and S. Al-Sagar Z. "Wavelet packet analysis for rotor bar breakage in an inverter induction motor." Electrical Engineering & Electromechanics, no. 3 (April 23, 2023): 3–11. https://doi.org/10.20998/2074-272X.2023.3.01.

Full text

Abstract:

Introduction. In various industrial processes, squirrel cage induction motors are widely employed. These motors can be used in harsh situations, such as non-ventilated spaces, due to their high strength and longevity. These machines are subject to malfunctions such as short circuits and broken bars. Indeed, for the diagnosis several techniques are offered and used. Novelty of the proposed work provides the use of wavelet analysis technology in a continuous and discrete system to detect faults affecting the rotating part of an induction motor fed by a three-phase inverter. Purpose. This paper aims to present a novel technique for diagnosing broken rotor bars in the low-load, stationary induction machine proposed. The technique is used to address the problem of using the traditional Techniques like Fourier Transforms signal processing algorithm by analyzing the stator current envelope. The suggested method is based on the use of discrete wavelet transform and continuous wavelet transform. Methods. A waveform can be monitored at any frequency of interest using the suggested discrete wavelet transform and continuous wavelet transform. To identify the rotor broken bar fault, stator current frequency spectrum is analyzed and then examined. Based on a suitable index, the algorithm separates the healthy motor from the defective one, with 1, 2 and 3 broken bars at no-load. Results. In comparison to the healthy conditions, the recommended index significantly raises under the broken bars conditions. It can identify the problematic conditions with clarity. The possibility of detecting potential faults has been demonstrated (broken bars), using discrete wavelet transform and continuous wavelet transform. The diagnostic method is adaptable to temporary situations brought on by alterations in load and speed. Performance and efficacy of the suggested diagnostic method are demonstrated through simulation in Simulink® MATLAB environment.

APA, Harvard, Vancouver, ISO, and other styles

Miceli, Rosario, Yasser Gritli, Antonino Di Tommaso, Fiorenzo Filippetti, and Claudio Rossi. "Vibration signature analysis for monitoring rotor broken bar in double squirrel cage induction motors based on wavelet analysis." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 5 (2014): 1625–41. http://dx.doi.org/10.1108/compel-09-2013-0304.

Full text

Abstract:

Purpose – The purpose of this paper is to present a diagnosis technique, for rotor broken bar in double cage induction motor, based on advanced use of wavelet transform analysis. The proposed technique is experimentally validated. Design/methodology/approach – The proposed approach is based on a combined use of frequency sliding and wavelet transform analysis, to isolate the contribution of the rotor fault components issued from vibration signals in a single frequency band. Findings – The proposed technique is reliable for tracking the rotor fault components over time-frequency domain. The quantitative analysis results based on this technique are the proof of its robustness. Research limitations/implications – The validity of the proposed diagnosis approach is not limited to the analysis under steady-state operating conditions, but also for time-varying conditions where rotor fault components are spread in a wide frequency range. Practical implications – The developed approach is best suited for automotive or high power traction systems, in which safe-operating and availability are mandatory. Originality/value – The paper presents a diagnosis technique for rotor broken bar in double cage induction motor base on advanced use of wavelet transform which allows the extraction of the most relevant rotor fault component issued from axial vibration signal and clamping it in a single frequency bandwidth, avoiding confusions with other components and false interpretations.

APA, Harvard, Vancouver, ISO, and other styles

Shi, Pu, Zheng Chen, and Yuriy Vagapov. "Modeling and Analysis of Induction Machines under Broken Rotor-bar Failures." International Journal of Computer Applications 69, no. 14 (2013): 28–35. http://dx.doi.org/10.5120/11912-8032.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Douglas, H., P. Pillay, and A. K. Ziarani. "Broken Rotor Bar Detection in Induction Machines With Transient Operating Speeds." IEEE Transactions on Energy Conversion 20, no. 1 (2005): 135–41. http://dx.doi.org/10.1109/tec.2004.842394.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Haji, M., and H. A. Toliyat. "Pattern recognition-a technique for induction machines rotor broken bar detection." IEEE Transactions on Energy Conversion 16, no. 4 (2001): 312–17. http://dx.doi.org/10.1109/60.969469.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Haji, M., and H. Toliyat. "Pattern Recognition-A Technique for Induction Machines Rotor Broken Bar Detection." IEEE Power Engineering Review 21, no. 12 (2001): 67. http://dx.doi.org/10.1109/mper.2001.4311225.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Lopez-Ramirez, Misael, Luis M. Ledesma-Carrillo, Francisco M. Garcia-Guevara, Jorge Munoz-Minjares, Eduardo Cabal-Yepez, and Francisco J. Villalobos-Pina. "Automatic Early Broken-Rotor-Bar Detection and Classification Using Otsu Segmentation." IEEE Access 8 (2020): 112624–32. http://dx.doi.org/10.1109/access.2020.3002545.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Aguayo-Tapia, Sarahi, Gerardo Avalos-Almazan, Jose de Jesus Rangel-Magdaleno, and Mario R. A. Paternina. "Broken Bar Fault Detection Using Taylor–Fourier Filters and Statistical Analysis." Entropy 25, no. 1 (2022): 44. http://dx.doi.org/10.3390/e25010044.

Full text

Abstract:

Broken rotor bars in induction motors make up one of the typical fault types that are challenging to detect. This type of damage can provoke adverse effects on the motors, such as mechanical and electrical stresses, together with an increase in electricity consumption, causing higher operative costs and losses related to the maintenance times or even the motor replacement if the damage has led to a complete failure. To prevent such situations, diverse signal processing algorithms have been applied to incipient fault detection, using different variables to analyze, such as vibrations, current, or flux. To counteract the broken rotor bar damage, this paper focuses on a motor current signal analysis for early broken bar detection and classification by using the digital Taylor–Fourier transform (DTFT), whose implementation allows fine filtering and amplitude estimation with the final purpose of achieving an incipient fault detection. The detection is based on an analysis of variance followed by a Tukey test of the estimated amplitude. The proposed methodology is implemented in Matlab using the O-splines of the DTFT to reduce the computational load compared with other methods. The analysis is focused on groups of 50-test of current signals corresponding to different damage levels for a motor operating at 50% and 75% of its full load.

APA, Harvard, Vancouver, ISO, and other styles

Sinha, Ashish Kumar, Ananda Shankar Hati, Mohamed Benbouzid, and Prasun Chakrabarti. "ANN-Based Pattern Recognition for Induction Motor Broken Rotor Bar Monitoring under Supply Frequency Regulation." Machines 9, no. 5 (2021): 87. http://dx.doi.org/10.3390/machines9050087.

Full text

Abstract:

The requisite of direct-on-line (DOL) starting for various applications in underground mines subjects the rotor bars of heavy-duty squirrel cage induction motors (SCIMs) to severe stresses, resulting in sustained fault in the rotor bars, unlike the applications where mostly reduced voltage starting is preferred. Furthermore, SCIMs working in underground mines are also affected by unforeseen frequency fluctuations. Hence, the paper proposes a discrete wavelet transform (DWT)-based broken rotor bar detection scheme using the stator current analysis of SCIM when subjected to a frequency regulation (±4% of 50 Hz supply) in steady-state, as prevalent in underground mines. In this regard, the level-seven detailed coefficient obtained by the DWT-based multi-resolution analysis of stator current corresponding to the healthy rotor is compared with that of the faulty rotor to extract the necessary features to identify the fault. Further implementation of the proposed scheme is done using artificial neural network (ANN)-based pattern recognition techniques, wherein both feed-forward backdrops and cascaded forward backdrop type ANNs have been used for fault pinpointing based on the feature extraction results obtained from DWT. The scheme is developed and analysed in MATLAB/Simulink using 5.5 kW, 415 V, 50 Hz SCIM, which is further validated using the LabVIEW-based real-time implementation.

APA, Harvard, Vancouver, ISO, and other styles

Chen, Jiageng, Niaoqing Hu, Lun Zhang, Ling Chen, Bozheng Wang, and Yang Zhou. "A Method for Broken Rotor Bars Diagnosis Based on Sum-Of-Squares of Current Signals." Applied Sciences 10, no. 17 (2020): 5980. http://dx.doi.org/10.3390/app10175980.

Full text

Abstract:

Induction motors are mainstay power components in industrial equipment. Fault diagnosis technology of induction motors can detect the incipient fault and avoid the unplanned shutdown. The broken rotor bar is a significant fault mode of induction motors. Classical fault diagnosis methods always have complex principles and high computational costs, which leads to difficulties in understanding and calculation. In this paper, a method of broken rotor bar diagnosis based on the sum-of-squares of current signals is proposed. This method can eliminate the fundamental frequency and extract the signature frequency components by calculating the sum-of-squares of three-phase current signals. The signature frequency components are more apparent in the spectrum of the sum-of-squares of current signals. The effectiveness of the proposed method under different load levels and rotation motor speeds has been validated by two experiments. Compared with the classical diagnostic methods, the proposed method has better effectiveness and lower computation cost.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!