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Journal articles on the topic 'Motor fault analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Wahab, Abbas A., N. Fatimah Abdullah, and M. A. H. Rasid. "Mechanical Fault Detection on Electrical Machine: Thermal Analysis of Small Brushed DC Motor with Faulty Bearing." MATEC Web of Conferences 225 (2018): 05012. http://dx.doi.org/10.1051/matecconf/201822505012.

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Direct current motors (DC motor) are used in the small electric devices commonly. DC motor are cheap and easy to install, thus their popularity. Despite the popularity, faults occur which make diagnosis and detection of faults very important. It avoids financial loss and unexpected shutdown operation causes by these faults. This paper presents an analysis of temperature profile of the much famous small Brushed DC motor with a faulty bearing. The temperature data of healthy DC motor and DC motor with faulty bearing were measured by thermocouple and recorded using data logger in real time until

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Amanuel, Thomas, Amanuel Ghirmay, Huruy Ghebremeskel, Robel Ghebrehiwet, and Weldekidan Bahlibi. "Comparative Analysis of Signal Processing Techniques for Fault Detection in Three Phase Induction Motor." March 2021 3, no. 1 (2021): 61–76. http://dx.doi.org/10.36548/jei.2021.1.006.

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Signal processing is considered as an efficient technique to detect the faults in three-phase induction motors. Detection of different varieties of faults in the rotor of the motor are widely studied at the industrial level. To extend further, this research article presents the analysis on various signal processing techniques for fault detection in three-phase induction motor due to the damages in rotor bar. Usually, Fast Fourier Transform (FFT) and STFT are used to analyze the healthy and faulty motor conditions based on the signal characteristics. The proposed study covers the advantages and

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3

Glowacz, A., W. Glowacz, Z. Glowacz, et al. "Fault Diagnosis of Three Phase Induction Motor Using Current Signal, MSAF-Ratio15 and Selected Classifiers." Archives of Metallurgy and Materials 62, no. 4 (2017): 2413–19. http://dx.doi.org/10.1515/amm-2017-0355.

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AbstractA degradation of metallurgical equipment is normal process depended on time. Some factors such as: operation process, friction, high temperature can accelerate the degradation process of metallurgical equipment. In this paper the authors analyzed three phase induction motors. These motors are common used in the metallurgy industry, for example in conveyor belt. The diagnostics of such motors is essential. An early detection of faults prevents financial loss and downtimes. The authors proposed a technique of fault diagnosis based on recognition of currents. The authors analyzed 4 states

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Kudelina, Karolina, Bilal Asad, Toomas Vaimann, et al. "Bearing Fault Analysis of BLDC Motor for Electric Scooter Application." Designs 4, no. 4 (2020): 42. http://dx.doi.org/10.3390/designs4040042.

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In this paper, the bearing faults analysis of the brushless DC motor is presented. The research method is based on the analysis of the vibration signal of healthy as well as faulty bearings by the identification of specific frequencies on the vibration spectrum. For the experiment, the most common faults were inflicted on the bearings. As the used motor is intended for electric scooter applications, seven different damages were chosen, which are highly likely to occur during the scooter operation. The main bearing faults and the possibility of fault monitoring are addressed. The vibration data

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Farag, Khaled, Abdullah Shawier, Ayman S. Abdel-Khalik, Mohamed M. Ahmed, and Shehab Ahmed. "Applicability Analysis of Indices-Based Fault Detection Technique of Six-Phase Induction Motor." Energies 14, no. 18 (2021): 5905. http://dx.doi.org/10.3390/en14185905.

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The multiphase induction motor is considered to be the promising alternative to the conventional three-phase induction motor, especially in safety-critical applications because of its inherent fault-tolerant feature. Therefore, the attention of many researchers has been paid to develop different techniques for detecting various fault types of multiphase induction motors, to securely switch the control mode of the multiphase drive system to its post-fault operation mode. Therefore, several fault detection methods have been researched and adapted; one of these methods is the indices-based fault

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Ribeiro Junior, Ronny Francis, Isac Antônio dos Santos Areias, and Guilherme Ferreira Gomes. "Fault detection and diagnosis using vibration signal analysis in frequency domain for electric motors considering different real fault types." Sensor Review 41, no. 3 (2021): 311–19. http://dx.doi.org/10.1108/sr-02-2021-0052.

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Purpose Electric motors are present in most industries today, being the main source of power. Thus, detection of faults is very important to rise reliability, reduce the production cost, improving uptime and safety. Vibration analysis for condition-based maintenance is a mature technique in view of these objectives. Design/methodology/approach This paper shows a methodology to analyze the vibration signal of electric rotating motors and diagnosis the health of the motor using time and frequency domain responses. The analysis lies in the fact that all rotating motor has a stable vibration patte

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Vinothraj, C., N. Praveen Kumar, and T. B. Isha. "Bearing Fault Analysis in Induction Motor Drives Using Finite Element Method." International Journal of Engineering & Technology 7, no. 3.6 (2018): 30. http://dx.doi.org/10.14419/ijet.v7i3.6.14928.

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Diagnosis of faults in induction motor is an indispensable process in industries to improve the reliability of the machine and reduce the financial loss. Among the various faults occurring in induction motors (IM), bearing fault is the predominant one which covers nearly 60% of faults. In this paper, a study of the electromagnetic field of an induction motor with bearing fault fed from both the mains and a three phase voltage source PWM inverter in open loop is carried out using Finite element method (FEM). Electromagnetic field parameters like flux lines distribution, flux density distributio

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Alawady, A. A., M. F. M. Yousof, N. Azis, and M. A. Talib. "Frequency response analysis technique for induction motor short circuit faults detection." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (2020): 1653. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1653-1659.

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<p>The paper presents the description for diagnostic methods of induction motor's stator windings fault. The presented methods use Frequency Response Analysis (FRA) technique for detection of Winding Faults in Induction Motor . This method is previously reliable method for faults diagnosis and detection in many parts of transformers including transformer windings. In this paper, this method was used for motor windings faults detection. This paper presents the FRA response interpretation on internal short circuit (SC) fault at stator winding on three cases studies of different three-phase

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Treetrong, Juggrapong. "Fault Prediction of Induction Motor Based on Time-Frequency Analysis." Applied Mechanics and Materials 52-54 (March 2011): 115–20. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.115.

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Because the faults happening in the motor (such as the stator and the rotor faults) can distort the sinusoidal response of the motor RPM and the main frequency, hence the spectrum method has previously been introduced which it relates to both amplitudes and phases among harmonics in a signal. The method popularly applied for fault detection is based on frequency analysis by observing the side band, its harmonics around main frequencies or its other harmonics. Based on the present experiments, the spectrum method by FFT function has ability to distinguish the motor condition. But, the fault sev

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Tang, Jing, Yongheng Yang, Jie Chen, Ruichang Qiu, and Zhigang Liu. "Characteristics Analysis and Measurement of Inverter-Fed Induction Motors for Stator and Rotor Fault Detection." Energies 13, no. 1 (2019): 101. http://dx.doi.org/10.3390/en13010101.

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Inverter-fed induction motors (IMs) contain a serious of current harmonics, which become severer under stator and rotor faults. The resultant fault components in the currents affect the monitoring of the motor status. With this background, the fault components in the electromagnetic torque under stator faults considering harmonics are derived in this paper, and the fault components in current harmonics under rotor faults are analyzed. More importantly, the monitoring based on the fault characteristics (both in the torque and current) is proposed to provide reliable stator and rotor fault diagn

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Krishnan, Shashikumar, and Vijayakumar Vengadasalam. "Detecting industrial motor faults with current signatures." F1000Research 10 (September 8, 2021): 903. http://dx.doi.org/10.12688/f1000research.54266.1.

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Background: A major player in industry is the induction motor. The constant motion and mechanical nature of motors causes much wear and tear, creating a need for frequent maintenance such as changing contact brushes. Unmannered and infrequent monitoring of motors, as is common in the industry, can lead to overexertion and cause major faults. If a motor fault is detected earlier through the use of automated fault monitoring, it could prevent minor faults from developing into major faults, reducing the cost and down-time of production due the motor repairs. There are few available methods to det

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Glowacz, Adam. "Diagnostics of Rotor Damages of Three-Phase Induction Motors Using Acoustic Signals and SMOFS-20-EXPANDED." Archives of Acoustics 41, no. 3 (2016): 507–15. http://dx.doi.org/10.1515/aoa-2016-0049.

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AbstractA fault diagnostics system of three-phase induction motors was implemented. The implemented system was based on acoustic signals of three-phase induction motors. A feature extraction step was performed using SMOFS-20-EXPANDED (shortened method of frequencies selection-20-Expanded). A classification step was performed using 3 classifiers: LDA (Linear Discriminant Analysis), NBC (Naive Bayes Classifier), CT (Classification Tree). An analysis was carried out for incipient states of three-phase induction motors measured under laboratory conditions. The author measured and analysed the foll

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Garcia-Perez, Arturo, Rene J. Romero-Troncoso, Eduardo Cabal-Yepez, Roque A. Osornio-Rios, and Jose A. Lucio-Martinez. "Application of high-resolution spectral analysis for identifying faults in induction motors by means of sound." Journal of Vibration and Control 18, no. 11 (2011): 1585–94. http://dx.doi.org/10.1177/1077546311422925.

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Induction motors are critical components for most industries. Induction motor failures may yield an unexpected interruption at the industry plant. Several conventional vibration and current analysis techniques exist by which certain faults in rotating machinery can be identified. Ever since the first motor was built, plant personnel have listened to the noises emanating from machines; with enough experience, a listener may make a fairly accurate estimate of the condition of a machine. Although there are several works that deal with vibration and current analysis for monitoring and detection of

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Garcia-Calva, Tomas A., Daniel Morinigo-Sotelo, Vanessa Fernandez-Cavero, Arturo Garcia-Perez, and Rene de J. Romero-Troncoso. "Early Detection of Broken Rotor Bars in Inverter-Fed Induction Motors Using Speed Analysis of Startup Transients." Energies 14, no. 5 (2021): 1469. http://dx.doi.org/10.3390/en14051469.

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The fault diagnosis of electrical machines during startup transients has received increasing attention regarding the possibility of detecting faults early. Induction motors are no exception, and motor current signature analysis has become one of the most popular techniques for determining the condition of various motor components. However, in the case of inverter powered systems, the condition of a motor is difficult to determine from the stator current because fault signatures could overlap with other signatures produced by the inverter, low-slip operation, load oscillations, and other non-st

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Abassi, Moez, Omar Khlaief, Oussama Saadaoui, Abdelkader Chaari, and Mohamed Boussak. "Real-time implementation of discrete Fourier transform phase analysis and fault tolerant control for PMSM in electric vehicles." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 1 (2018): 432–47. http://dx.doi.org/10.1108/compel-02-2017-0052.

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Purpose Electric vehicles (EVs) require uninterrupted and safe conditions during operations. Therefore, the diagnostic of power devices and electric motor faults are needed to improve the availability of the system. Hence, fault-tolerant control (FTC), which combines switch fault detection, hardware redundancy and post-fault control, is used. This paper aims to propose an accurate open-phase fault detection and FTC of a direct torque control permanent magnet synchronous motor electrical vehicles by using discrete Fourier-transform phase method. Design/methodology/approach The main idea is to p

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Podduturi, Sai Sharath. "Condition Monitoring of Three Phase Induction Motor using Current Signature Analysis." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1946–55. http://dx.doi.org/10.22214/ijraset.2021.35491.

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In this paper we are going to see how Gabor transform is used to analyze the signal and to determine the inner and outer race of bearing faults by monitoring the condition of Induction motor using Motor Current Signature Analysis. Among the various faults bearing faults is the major problem, which cause a huge damage to induction motor, when unnoticed at developing stage. So, monitoring of bearing faults is very important and it can done by several conditions monitoring methods like thermal monitoring, vibration monitoring and more but these methods require expensive sensors or specified tools

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Suechoey, Boonlert, Somsak Siriporananon, Pana Chupun, Churirat Boonkhun, and Chai Chompooinwai. "Performance Analysis and Fault Classification in a Large Electric Motor Using Vibration Assessment Technique." International Journal of Intelligent Engineering and Systems 14, no. 1 (2021): 124–33. http://dx.doi.org/10.22266/ijies2021.0228.13.

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This research paper presents an analysis of electric motors performance by the assessment of vibration characteristics caused by bearing faults, housing bearing looseness and rotor unbalance. In this study, an analysis of fault that occurred in electric motor has followed ISO 10816-3 Standard. Bring the used electric motors for testing and measuring the vibration of the electric motors by using the Spectrum Analysis & Field Balancing Analyzer model ADASH A440-VA4 Pro. The vibration results of 22kW, 55kW and 75kW motor imply the malfunction of bearing faults, housing bearing looseness, and

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Papathanasopoulos, Dimitrios A., Konstantinos N. Giannousakis, Evangelos S. Dermatas, and Epaminondas D. Mitronikas. "Vibration Monitoring for Position Sensor Fault Diagnosis in Brushless DC Motor Drives." Energies 14, no. 8 (2021): 2248. http://dx.doi.org/10.3390/en14082248.

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A non-invasive technique for condition monitoring of brushless DC motor drives is proposed in this study for Hall-effect position sensor fault diagnosis. Position sensor faults affect rotor position feedback, resulting in faulty transitions, which in turn cause current fluctuations and mechanical oscillations, derating system performance and threatening life expectancy. The main concept of the proposed technique is to detect the faults using vibration signals, acquired by low-cost piezoelectric sensors. With this aim, the frequency spectrum of the piezoelectric sensor output signal is analyzed

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Zhang, Mingming, Jiangtian Yang, and Zhang Zhang. "Locomotive Gear Fault Diagnosis Based on Wavelet Bispectrum of Motor Current." Shock and Vibration 2021 (July 12, 2021): 1–12. http://dx.doi.org/10.1155/2021/5554777.

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The motor current signature analysis (MCSA) provides a nondestructive method for gear fault detection. The motor current in the faulty gear system not only involves the frequency information related to the fault but also the electric supply frequency and gear meshing-related frequency, which not only contaminates the fault characteristics but also increases the difficulty of fault extraction. To extract the fault characteristic frequency effectively, an innovative method based on the wavelet bispectrum (WB) is proposed. Bispectrum is an effective tool for identifying the fault-related quadrati

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Glowacz, A. "Diagnostics of DC and Induction Motors Based on the Analysis of Acoustic Signals." Measurement Science Review 14, no. 5 (2014): 257–62. http://dx.doi.org/10.2478/msr-2014-0035.

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Abstract In this paper, a non-invasive method of early fault diagnostics of electric motors was proposed. This method uses acoustic signals generated by electric motors. Essential features were extracted from acoustic signals of motors. A plan of study of acoustic signals of electric motors was proposed. Researches were carried out for faultless induction motor, induction motor with one faulty rotor bar, induction motor with two faulty rotor bars and flawless Direct Current, and Direct Current motor with shorted rotor coils. Researches were carried out for methods of signal processing: log are

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Treetrong, Juggrapong. "The Spectral Leakage Minimization of Spectrum for Motor Fault Analysis Using Adaptive Multi-Taper Method." Advanced Materials Research 591-593 (November 2012): 1886–89. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1886.

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This paper proposes a new method of motor fault detection. Adaptive MTM is proposed as a key technique for motor fault analysis. Standard spectrum has always processed a time-signal into frequency domain with spectral leakage contamination. The leakage results important small harmonics to be invisible which makes the spectrum difficult to analyze the motor faults. The spectrum from the Adaptive MTM is introduced to minimize the leakages. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. Based on several sets of the experi

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Zhang, Xi, and Hui Lin. "Fault Diagnosis and Compensation Strategy of BLDC Motor Drives with Hall Sensors." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 6 (2019): 1278–84. http://dx.doi.org/10.1051/jnwpu/20193761278.

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In a brushless DC motor drive system, two fault diagnosis methods were proposed in order to investigate the faults of Hall position sensors, and the corresponding compensation strategy was carried out. Firstly, the differences of Hall signal sequences during normal and fault situation of motor were analyzed, then a fault diagnosis method based on the characteristics of Hall signal sequences was proposed. In order to detect the faults of Hall position sensors in real time, a sliding mode-based super-twisting speed observer was established and combined with the Hall signal sequences. Under fault

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Hussein, H. A. Taha, M. E. Ammar, and M. A. Moustafa Hassan. "Three Phase Induction Motor's Stator Turns Fault Analysis Based on Artificial Intelligence." International Journal of System Dynamics Applications 6, no. 3 (2017): 1–19. http://dx.doi.org/10.4018/ijsda.2017070101.

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This article presents a method for fault detection and diagnosis of stator inter-turn short circuit in three phase induction machines. The technique is based on modelling the motor in the dq frame for both health and fault cases to facilitate recognition of motor current. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to provide an efficient fault diagnosis tool. An artificial intelligence network determines the fault severity values using the stator current history. The performance of the developed fault analysis method is investigated using Matlab/Simulink® software. Stator turns fau

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Song, Xiangjin, Jingtao Hu, Hongyu Zhu, and Jilong Zhang. "Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2640796.

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Bearing faults are the most frequent faults of induction motors. The current spectrum analysis is an easy and popular method for the monitoring and detection of bearing faults. After a presentation of the existing fault models, this paper illustrates an analytical approach to evaluate the effects of the slot harmonics on the stator current in an induction motor with bearing fault. Simple and clear theoretical analysis results in some new current characteristic frequencies. Experimental tests with artificial bearing outer raceway fault are carried out by measuring stator current signals. The ex

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Patel, R. K., and V. K. Giri. "Condition monitoring of induction motor bearing based on bearing damage index." Archives of Electrical Engineering 66, no. 1 (2017): 105–19. http://dx.doi.org/10.1515/aee-2017-0008.

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Abstract The rolling element bearings are used broadly in many machinery applications. It is used to support the load and preserve the clearance between stationary and rotating machinery elements. Unfortunately, rolling element bearings are exceedingly prone to premature failures. Vibration signal analysis has been widely used in the faults detection of rotating machinery and can be broadly classified as being a stationary or non-stationary signal. In the case of the faulty rolling element bearing the vibration signal is not strictly phase locked to the rotational speed of the shaft and become

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Duda, Arkadiusz, and Piotr Drozdowski. "Induction Motor Fault Diagnosis Based on Zero-Sequence Current Analysis." Energies 13, no. 24 (2020): 6528. http://dx.doi.org/10.3390/en13246528.

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This paper presents some considerations regarding the application of the stator zero-sequence current component (ZSC) in the fault detection of cage induction machines, including the effects of magnetic core saturation. Faults such as rotor cage asymmetry and static, dynamic, and mixed eccentricity were considered. The research started by developing a harmonic motor model, which allowed us to obtain a voltage equation for the zero-sequence current component. The equation allowed us to extract formulas of typical frequencies for particular fault types. Next, in order to verify the effectiveness

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Kabilan, R., and G. Selvakumar. "Automatic Speed Control of Motor via WAD Technique for Prevention of Faults in Motor." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 2 (2018): 519. http://dx.doi.org/10.11591/ijpeds.v9.i2.pp519-526.

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Many technologies are introduced in monitoring the fault occurrence in the electric motors used in industrial applications. Sound Accusation, current signature analysis, and vibration based motor fault detection systems are widely used in present years. From all these methods analyzing the motor vibration pattern produces more accuracy in finding an occurrence of different faults in the electric motor. The frequency of vibration generated by the MEMS vibration sensor differs for rotor, stator and bearing faults. The signal generated is analyzed using three important techniques namely wavelet a

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Xiao, Dengyu, Yixiang Huang, Chengjin Qin, Haotian Shi, and Yanming Li. "Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN." Shock and Vibration 2019 (January 27, 2019): 1–14. http://dx.doi.org/10.1155/2019/8325218.

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Motor fault diagnosis has gained much attention from academic research and industry to guarantee motor reliability. Generally, there exist two major approaches in the feature engineering for motor fault diagnosis: (1) traditional feature learning, which heavily depends on manual feature extraction, is often unable to discover the important underlying representations of faulty motors; (2) state-of-the-art deep learning techniques, which have somewhat improved diagnostic performance, while the intrinsic characteristics of black box and the lack of domain expertise have limited the further improv

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Veerendra, Arigela Satya, Akeel A. Shah, Mohd Rusllim Mohamed, Chavali Punya Sekhar, and Puiki Leung. "Wavelet Transform Based Fault Identification and Reconfiguration for a Reduced Switch Multilevel Inverter Fed Induction Motor Drive." Electronics 10, no. 9 (2021): 1023. http://dx.doi.org/10.3390/electronics10091023.

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The multilevel inverter-based drive system is greatly affected by several faults occurring on switching elements. A faulty switch in the inverter can potentially lead to more losses, extensive downtime and reduced reliability. In this paper, a novel fault identification and reconfiguration process is proposed by using discrete wavelet transform and auxiliary switching cells. Here, the discrete wavelet transform exploits a multiresolution analysis with a feature extraction methodology for fault identification and subsequently for reconfiguration. For increasing the reliability, auxiliary switch

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Li, Wang, Zhen, Gu, and Ball. "Modulation Sideband Separation Using the Teager–Kaiser Energy Operator for Rotor Fault Diagnostics of Induction Motors." Energies 12, no. 23 (2019): 4437. http://dx.doi.org/10.3390/en12234437.

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Broken rotor bar (BRB) faults are one of the most common faults in induction motors (IM). One or more broken bars can reduce the performance and efficiency of the IM and hence waste the electrical power and decrease the reliability of the whole mechanical system. This paper proposes an effective fault diagnosis method using the Teager–Kaiser energy operator (TKEO) for BRB faults detection based on the motor current signal analysis (MCSA). The TKEO is investigated and applied to remove the main supply component of the motor current for accurate fault feature extraction, especially for an IM ope

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Treetrong, Juggrapong. "A New Method of Electric Motor Fault Detection Based on Bi-Spectrum of Eliminated Signals." Advanced Materials Research 378-379 (October 2011): 561–64. http://dx.doi.org/10.4028/www.scientific.net/amr.378-379.561.

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This paper proposes a new method of motor fault detection by applying the eliminated-signal as data sources for motor fault analysis. Bi-spectrum is used as a key method for processing the signal. The expectation is that the eliminated-signal may contain information for fault analysis. The spectrum and bi-spectrum of the signal are applied as signal processing methods to analyze the motor faults. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. Based on experiments, the method can differentiate conditions clearly. They s

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Saucedo-Dorantes, Juan Jose, Miguel Delgado-Prieto, Juan Antonio Ortega-Redondo, Roque Alfredo Osornio-Rios, and Rene de Jesus Romero-Troncoso. "Multiple-Fault Detection Methodology Based on Vibration and Current Analysis Applied to Bearings in Induction Motors and Gearboxes on the Kinematic Chain." Shock and Vibration 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/5467643.

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Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vibration and stator currents analysis are commonly used due to their proven reliability. Indeed, vibration and current analysis provide fault condition information by means of the fault-related spectral component identification. This work presents a methodology based on vibration and current analysis

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Zhen, Dong, Zuolu Wang, Haiyang Li, Hao Zhang, Jie Yang, and Fengshou Gu. "An Improved Cyclic Modulation Spectral Analysis Based on the CWT and Its Application on Broken Rotor Bar Fault Diagnosis for Induction Motors." Applied Sciences 9, no. 18 (2019): 3902. http://dx.doi.org/10.3390/app9183902.

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Induction motors (IMs) are widely used in many manufacturing processes and industrial applications. The harsh work environment, long-time enduring, and overloads mean that it is subjected to broken rotor bar (BRB) faults. The vibration signal of IMs with BRB faults consists of the reliable modulation information used for fault diagnosis. Cyclostationary analysis has been found to be effective in identifying and extracting fault feature. The estimators of cyclic modulation spectrum (CMS) and fast spectral correlation (FSC) based on the short-time fourier transform (STFT) have higher cyclic freq

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Lin, Shih-Lin. "Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults." Sensors 21, no. 18 (2021): 6065. http://dx.doi.org/10.3390/s21186065.

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Motor failure is one of the biggest problems in the safe and reliable operation of large mechanical equipment such as wind power equipment, electric vehicles, and computer numerical control machines. Fault diagnosis is a method to ensure the safe operation of motor equipment. This research proposes an automatic fault diagnosis system combined with variational mode decomposition (VMD) and residual neural network 101 (ResNet101). This method unifies the pre-analysis, feature extraction, and health status recognition of motor fault signals under one framework to realize end-to-end intelligent fau

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Glowacz, Adam. "Recognition of Acoustic Signals of Commutator Motors." Applied Sciences 8, no. 12 (2018): 2630. http://dx.doi.org/10.3390/app8122630.

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Most faults can stop a motor, and time is lost in fixing the damaged motor. This is a reason why it is essential to develop fault-detection methods. This paper describes the acoustic-based fault detection of two commutator motors: the commutator motor of an electric impact drill and the commutator motor of a blender. Acoustic signals were recorded by a smartphone. Five states of the electric impact drill and three states of the blender were analysed: for the electric impact drill, these states were healthy, damaged gear train, faulty fan with five broken rotor blades, faulty fan with 10 broken

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Iftikhar, Muhammad H., Byung-Gun Park, and Ji-Won Kim. "Design and Analysis of a Five-Phase Permanent-Magnet Synchronous Motor for Fault-Tolerant Drive." Energies 14, no. 2 (2021): 514. http://dx.doi.org/10.3390/en14020514.

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Reliability is a fundamental requirement in electric propulsion systems, involving a particular approach in studies on system failure probabilities. An intrinsic improvement to the propulsion system involves introducing robust architectures such as fault-tolerant motor drives to these systems. Considering the potential for hardware failures, a fault-tolerant design approach will achieve reliability objectives without recourse to optimized redundancy or over-sizing the system. Provisions for planned degraded modes of operation are designed to operate the motor in fault-tolerant mode, which make

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Abullateef, Ayodele Isqeel, Mohammed Faiz Sanusi, and Olabanji Sunday Fagbolagun. "Induction Motor Stator Fault Classification Using PCA-ANFIS Technique." ELEKTRIKA- Journal of Electrical Engineering 19, no. 1 (2020): 26–32. http://dx.doi.org/10.11113/elektrika.v19n1.209.

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Induction motors are used commonly for industrial operations due to their ease of operation coupled with ruggedness and reliability. However, they are subjected to stator faults which result in damage and consequently revenue losses. The classification of stator fault in a three-phase induction motor based on Adaptive neuro-fuzzy inference system (ANFIS) in combination with Principal Component Analysis (PCA) is proposed in this study. A burnt motor was redesigned and rewound while data acquisition was developed to acquire the current and vibration data needed for the fault classification. The

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Chen, Yong, Siyuan Liang, Wanfu Li, Hong Liang, and Chengdong Wang. "Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review." Applied Sciences 9, no. 10 (2019): 2116. http://dx.doi.org/10.3390/app9102116.

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Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intellig

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Becker, Vincent, Thilo Schwamm, Sven Urschel, and Jose Alfonso Antonino-Daviu. "Fault Investigation of Circulation Pumps to Detect Impeller Clogging." Applied Sciences 10, no. 21 (2020): 7550. http://dx.doi.org/10.3390/app10217550.

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Pumps have a wide range of applications. Methods for fault detection of motors are increasingly being used for pumps. In the context of this paper, a test bench is built to investigate circulation pumps for faults. As a use case, the fault of impeller clogging was first measured and then examined with the help of motor current signature analysis. It can be seen that there are four frequencies at which there is an increase in amplitude in case of a fault. The sidebands around the supply frequency are in particular focus. The clogging of three and four of a total of seven channels leads to the h

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Asad, Bilal, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste, and Anouar Belahcen. "A Survey of Broken Rotor Bar Fault Diagnostic Methods of Induction Motor." Electrical, Control and Communication Engineering 14, no. 2 (2018): 117–24. http://dx.doi.org/10.2478/ecce-2018-0014.

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AbstractElectrical machines, induction motors in particular, play a key role in domestic and industrial applications. They act as a work horse in almost every industry and are responsible for a big proportion of total generated electricity consumption worldwide. The faults in induction motors are degenerative in nature and can lead to a catastrophic situation if not diagnosed earlier. The failures can cause considerable financial loss in the form of unexpected downtime. Broken rotor bar is a very common and frequently occurring fault in most of industrial induction motors. To select a better,

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Treetrong, Juggrapong. "Adaptation of Gershgorin Disk for Motor Fault Analysis." Advanced Materials Research 591-593 (November 2012): 1912–15. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1912.

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This paper proposes a new method of motor fault analysis. Gershgorin Disk is proposed as a key technique for processing all the 3 stator phase currents. Gershgorin Disk is broadly applied to estimate sources with unknown signal numbers. This paper introduces the technique for motor fault analysis. The method is expected to provide a high accuracy method of fault analysis. The Gershgorin Disk is tested with a source of 3 sinusoidal stator phase currents under different conditions. There are 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. Based

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Seera, Manjeevan, Chee Peng Lim, and Dahaman Ishak. "Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network." International Journal of Natural Computing Research 3, no. 1 (2012): 44–55. http://dx.doi.org/10.4018/jncr.2012010104.

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In this paper, a fault detection and diagnosis system for induction motors using motor current signature analysis and the Fuzzy Min-Max (FMM) neural network is described. The finite element method is first employed to generate experimental data for predicting the changes in stator current signatures of an induction motor due to broken rotor bars. Then, a series real laboratory experiments is for broken rotor bars detection and diagnosis. The induction motor with broken rotor bars is operated under different load conditions. In all the experiments, the FMM network is used to learn and distingui

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Glowacz, Adam. "Fault diagnostics of DC motor using acoustic signals and MSAF-RATIO30-EXPANDED." Archives of Electrical Engineering 65, no. 4 (2016): 733–44. http://dx.doi.org/10.1515/aee-2016-0051.

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AbstractAn early fault diagnostic method of Direct Current motors was presented in this article. The proposed method used acoustic signals of a motor. A method of feature extraction called MSAF-RATIO30-EXPANDED (method of selection of amplitudes of frequencies - ratio 30% of maximum of amplitude - expanded) was presented and implemented. An analysis of proposed method was carried out for early fault states of a real DC motor. Four following states of the DC motor were measured and analyzed: the healthy DC motor, DC motor with 3 shorted rotor coils, DC motor with 6 shorted rotor coils, DC motor

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Xiao, Zhao Xia, and Hong Wei Fang. "Transient Stability Analysis of MicroGrids Containing Multiple Micro Sources." Advanced Materials Research 403-408 (November 2011): 3608–14. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3608.

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Transient stability of the MicroGrid in which the micro sources use the P-f & Q-V droop control and PQ control was investigated. The impacts of motor load, different types of faults and the different locations of faults on the transient stability of the MicroGrid are presented in this paper. And the relation between the proportion of motor load and Fault Clearing Time (FCT) was explored.

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Wang, Hong, Xiao Shuang Men, and Yu Xian Zhang. "The Analysis of Fault Diagnosis on Motor Devices." Applied Mechanics and Materials 189 (July 2012): 415–18. http://dx.doi.org/10.4028/www.scientific.net/amm.189.415.

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In this paper, author analyses the basic principle of fault diagnosis in motor device, and discusses systematically the modern methods of fault diagnosis in motor devices, and overviews the characters of each method and points out the trend of fault diagnosis in motor device.

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Adouni, Amel, and Antonio J. Marques Cardoso. "Thermal Analysis of Low-Power Three-Phase Induction Motors Operating under Voltage Unbalance and Inter-Turn Short Circuit Faults." Machines 9, no. 1 (2020): 2. http://dx.doi.org/10.3390/machines9010002.

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Three-phase induction motors are considered to be the workhorse of industry. Therefore, induction motor faults are not only the cause of users’ frustrations but they also drive up the costs related to unexpected breakdowns, repair actions, and safety issues. One of the most critical faults in three-phase induction motors is related to the occurrence of inter-turn short circuits, due to its devastating consequences. The topic of inter-turn short-circuit faults in three-phase induction motors has been discussed over recent decades by several researchers. These studies have mainly dealt with earl

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Yuan, Gui Li, and Shi Wei Qin. "Fault Diagnosis of Induction Motor Based on Wavelet Packet Analysis and Negative Selection Algorithm." Advanced Materials Research 591-593 (November 2012): 1986–90. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1986.

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For the spectrum characteristics of the motor vibration, the vibration fault diagnosis method of motor rotor rubbing based on wavelet packet transform and real-valued negative selection algorithm is put forward. Using wavelet packet analysis to energy analysis of rotor rubbing and extracting the fault feature vectors, then by real-valued negative selection algorithm to identify the normal and failure mode eigenvectors. The experimental results show that with this method all the rotor rubbing faults can be detected comprehensive and rapidly. This method has high feasibility of the wavelet packe

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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.

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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 tr

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Treetrong, Juggrapong. "Electric Motor Fault Analysis Based on Windowed-Zeropadded FFT." Advanced Materials Research 378-379 (October 2011): 553–56. http://dx.doi.org/10.4028/www.scientific.net/amr.378-379.553.

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This paper proposes a new method for motor fault analysis. Windowed-Zeropadded FFT is applied as a signal processing method. The method is based on both windowing and zero-padding of the signal. The expectation is that the method can provide harmonic amplitude more visible for the purpose of motor fault analysis. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. The method can provide more visible harmonic amplitudes than other methods, because it can eliminate the leakages and provide smoother plotting. Thus, it can help

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Tseng, Chwan-Lu, Shun-Yuan Wang, Shou-Chuang Lin, Jen-Hsiang Chou, and Ke-Fan Chen. "A Diagnostic System for Speed-Varying Motor Rotary Faults." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/310626.

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This study proposed an intelligent rotary fault diagnostic system for motors. A sensorless rotational speed detection method and an improved dynamic structural neural network are used. Moreover, to increase the convergence speed of training, a terminal attractor method and a hybrid discriminant analysis are also adopted. The proposed method can be employed to detect the rotary frequencies of motors with varying speeds and can enhance the discrimination of motor faults. To conduct the experiments, this study used wireless sensor nodes to transmit vibration data and employed MATLAB to write code

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