Relevant bibliographies by topics / Induction motor failures

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Induction motor failures'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Induction motor failures"

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Kocman, Stanislav, and Pavel Pecínka. "Modelling of Stator Coil–To–Ground Faults in Induction Motor." Renewable Energy and Power Quality Journal 19 (September 2021): 396–401. http://dx.doi.org/10.24084/repqj19.303.

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Three–phase squirrel cage induction motors are the most widespread types of electrical motors which can be found in both industrial and tertiary applications. There are some reasons why they are so often used, such as simple construction, nearly maintenance-free, advantageous price and the possibility to feed them directly from the AC network. Even if their reliability is very high, some unexpected breakdowns can occur during their operation. In this paper, coil–to–ground faults of motor stator winding have been taken into consideration. These failures have been modelled in several points of o
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Qi, Wei Min, Jie Xiao, and You Han Deng. "Induction Motor Protection System Based on Fuzzy Logic." Applied Mechanics and Materials 719-720 (January 2015): 584–89. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.584.

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The protection is very important to detect abnormal motor running conditions such as over current, over voltage, overload, over temperature, and so on. When a failure is sensed by the protection system, a time delay should be specified to trip the motor. In the classical systems, motors are stopped with the time delay, which is adjusted constantly without considering the fault level. This paper presents a fuzzy logic-based protection system covering six different fault parameters for induction motors. The paper focuses on a new time-delay calculation for stopping induction motor and improves t
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Alawady, A. A., M. F. M. Yousof, N. Azis, and M. A. Talib. "Phase to phase fault detection of 3-phase induction motor using FRA technique." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (2020): 1241. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1241-1248.

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The purpose for preparing this paper is to innovate a new method to detection and diagnosis the three-phase induction motor electrical failures, especially the failures that occur in Stator winding. Stator winding breakdown largely contributes to induction motor failures. To understand internal fault in induction motors winding, four cases studies of different three-phase induction motors (TPIM) were analysed according to two conditions: normal winding condition and windings shorted between two phases. In this paper, the measurement of frequency response analysis (FRA) on the stator winding wi
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Gedzurs, Aleksejs. "Fault Diagnosis of Low-Power Three-Phase Induction Motor." Rural Sustainability Research 36, no. 331 (2016): 34–41. http://dx.doi.org/10.1515/plua-2016-0012.

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Abstract An Induction motor reliability survey at an egg processing plant shows that almost 50% of the total motor failures are fan induction motors. Visual investigations of the faulty fan motors show that the main cause of the induction motor failure is air gap eccentricity. In this study, experimental tests are performed on a 1.1kW three-phase induction motor to detect air gap eccentricity and overheating of the induction motor. Heating tests show that end shield housing temperature reaches 100°C with blocked air flow from the fan, which can reduce the lifespan of the bearing. Dimension mea
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Abitha, Memala W., and V. Rajini. "Virtual Instrumentation Based Analysis of Induction Motor." Advanced Materials Research 984-985 (July 2014): 970–76. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.970.

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The three phase induction motor is a popularly used machine in many of the industries, which is well known for its robustness, reliability, cost effectiveness, efficient and safe operation. The unnoticed manufacturing failure, mistakes during repair work, exceeding life time may be some of the causes of the induction motor failure, which may lead to the unknown shut down time of the industry. The condition monitoring plays important role as it has the influence on the production of materials and profit. In our work, the induction motor is modelled using stationary reference frame and analysed
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Boumous, Z., and S. Boumous. "New Approach in the Fault Tolerant Control of Three-Phase Inverter Fed Induction Motor." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6504–9. http://dx.doi.org/10.48084/etasr.3898.

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This article provides an improved fault-tolerant control scheme for inverter-powered induction motors. The proposed strategy addresses the cancellation of power switch failures (IGBTs) regardless of their location in a reconfigurable induction motor control. The proposed fault-tolerant topology requires only minimal hardware modifications of the conventional six-switch three-phase drive, mitigating IGBT failures through reconfiguration based on the substitution of an entire inverter arm. The detection mechanism is based on the tridimensional method from which a database will be used for the le
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Sun, Li Ling, and Bao Long Zhang. "Asynchronous Motor Bearing Fault Detection Methods." Advanced Materials Research 383-390 (November 2011): 5055–58. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.5055.

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Bearing, asynchronous deep groove ball bearings are widely used in induction motor field. Motor bearing failure probability is as high as 40% in asynchronous motor. It accounts for the largest proportion of failures in the motor. Therefore, people have been on studying motor bearing fault detection methods for further research. So far, people have studied a variety of modern detection methods.
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Cekic, Yalcin. "Bearing fault detection by four-band wavelet packet decomposition." Thermal Science 23, Suppl. 1 (2019): 91–98. http://dx.doi.org/10.2298/tsci180927333c.

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Bearing problems are by far the biggest cause of induction motor failures in the industry. Since induction machines are used heavily by the industry, their unexpected failure may disturb the production process. Motor condition monitoring is employed widely to avoid such unexpected failures. The data that can be obtained from induction machines are non-stationary by nature since the loading may vary during their operation. Wavelet packet decomposition seems to better handle non-stationary nature of induction machines, the use of this method in monitoring applications is limited, since the compu
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HASUIKE, K. "A Statistical Study of Small Induction Motor Coil Failures." Electric Machines & Power Systems 13, no. 6 (1987): 349–60. http://dx.doi.org/10.1080/07313568708909256.

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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.

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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 failur
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Dissertations / Theses on the topic "Induction motor failures"

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Bulušek, Petr. "Diagnostika asynchronního motoru s ohledem na jeho údržbu a spolehlivost." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242024.

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The thesis Diagnostic of induction motor with regard to its maintenance and reliability aims to be a theoretical preparation and application of online diagnostics. It is trying to map correlations between electromechanical system failures driven by induction motor and output information of the diagnostic method. It mainly focuses on spectrum analysis of stator current which carries information on the induction motor status in the form of characteristic signatures in the spectrum (Motor Current Signature Analysis). The theoretical part deals with the concept of diagnostics and mainly with the o
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Pinheiro, H?lio Henrique Cunha. "Sistema para detec??o e diagn?stico de falhas em motores el?tricos de indu??o utilizando l?gica fuzzy." Universidade Federal do Rio Grande do Norte, 2011. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15388.

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Made available in DSpace on 2014-12-17T14:55:56Z (GMT). No. of bitstreams: 1 HelioHCP_DISSERT.pdf: 2649090 bytes, checksum: 4af294fb0fbf94f5f1ce08428f01d668 (MD5) Previous issue date: 2011-12-22<br>Induction motors are one of the most important equipment of modern industry. However, in many situations, are subject to inadequate conditions as high temperatures and pressures, load variations and constant vibrations, for example. Such conditions, leaving them more susceptible to failures, either external or internal in nature, unwanted in the industrial process. In this context, predictive main
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Wang, Yuan. "The ZCT method of induction motor failure prediction and speed monitoring." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364128.

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Liu, Kun-Chu. "Model-based failure detection in induction motors using nonlinear filtering." Case Western Reserve University School of Graduate Studies / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=case1058279752.

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Grubic, Stefan. "Online monitoring of turn insulation deterioration in mains-fed induction machines using online surge testing." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41131.

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The development of an online method for the early detection of a stator turn insulation deterioration is the objective of the research at hand. A high percentage of motor breakdowns is related to the failure of the stator insulation system. Since most of the stator insulation failures originate in the breakdown of the turn-to-turn insulation, the research in this realm is of great significance. Despite the progress that has been made in the field of stator turn fault detection methods, the most popular and the best known ones are still limited to the detection of solid turn faults. The time sp
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Bin, Hasan M. M. A. "Current based condition monitoring of electromechanical systems : model-free drive system current monitoring : faults detection and diagnosis through statistical features extraction and support vector machines classification." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5732.

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A non-invasive, on-line method for detection of mechanical (rotor, bearings eccentricity) and stator winding faults in a 3-phase induction motors from observation of motor line current supply input. The main aim is to avoid the consequence of unexpected failure of critical equipment which results in extended process shutdown, costly machinery repair, and health and safety problems. This thesis looks into the possibility of utilizing machine learning techniques in the field of condition monitoring of electromechanical systems. Induction motors are chosen as an example for such application. Elec
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Tai, Cheng-Chang, and 戴正昌. "Induction motor and brushless motor failure analysis based on particle swarm optimization." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/24755183313621488824.

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碩士<br>中原大學<br>工業與系統工程研究所<br>104<br>The traditional detection methods relied on the maintenance staff experiences, but the harsh environment such as high temperature or high pressure is unable to test and maintain effectively. Long time operation could make the motor overheating or aging then leading it to fail. Therefore, the detections of motor of fault have already become extremely important subject for system operation. This thesis proposes a novel model of induction motor and brushless motor failure signal analysis base on particle swarm optimization (PSO) algorithm. First, this thesis is
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Huang, Kuan-Yu, and 黃冠瑜. "Squirrel-cage Induction Motor Failure Detection Based on Wavelet transform." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/qv9wu8.

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碩士<br>中原大學<br>電機工程研究所<br>106<br>This thesis proposed a classifier combine a wavelet transform with neural network. The classifier perform a signal analysis for the stator current of the induction motor and identify faults in induction motors by the k-nearest neighbor (k-NN) algorithm. Firstly,this study proposed a classifier which combine the wavelet transform with the k-nearest neighbor algorithm. This classifier model was composed of multiple resolution analysis (MRA) of wavelet transform and k-nearest neighbor algorithm. The classifier purposed in this study has a better recognition rate th
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Dhuness, Kahesh. "An investigation into aspects of the online detection of broken rotor bars in induction motors." Thesis, 2008. http://hdl.handle.net/10210/411.

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Recent failures of large induction machines due to rotor bar breaks have become a major industrial concern in South Africa. These failures have occurred while applying current condition monitoring methods. This would imply that current theories are either inadequate or badly implemented. This thesis investigates two currently used condition monitoring strategies which focus on monitoring the stator current and axial vibration to detect bar breaks as well as a third method which involves putting destructive shaft voltages to good use and using this signal to diagnose rotor defects. This documen
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Park, Hyeonsu 1973. "Nonlinearity detection for condition monitoring utilizing higher-order spectral analysis diagnostics." 2008. http://hdl.handle.net/2152/18260.

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In this dissertation, we investigate the theory and application of higher-order spectral analysis techniques to condition monitoring in shipboard electrical power systems. Monitoring and early detection of faults in rotating machines, such as induction motors, are essential for both preventive maintenance and to avoid potentially severe damage. As machines degrade, they often tend to become more nonlinear. This increased nonlinearity results in the introduction of new frequencies which satisfy particular frequency selection rules; the exact selection rule depends on the order of the nonlineari
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Book chapters on the topic "Induction motor failures"

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Tran, Cuong Dinh, Pavel Brandstetter, Sang Dang Ho, et al. "Improving Fault Tolerant Control to the One Current Sensor Failures for Induction Motor Drives." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14907-9_76.

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Toscano, David S., and Enrique V. Carrera. "Failure Detection in Induction Motors Using Non-supervised Machine Learning Algorithms." In Systems and Information Sciences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59194-6_5.

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Borse, Deepak, V. B. Tungikar, and D. R. Patil. "Failure Investigation of Induction Motor Bearing of Electric Vehicle Due to Manufacturing Defect." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0909-1_15.

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Caiza, Gustavo, Carlos A. Garcia, Jose E. Naranjo, and Marcelo V. Garcia. "Assessment of Engineering Techniques for Failures Simulation in Induction Motors Using Numerical Tool." In Proceedings of the 5th Brazilian Technology Symposium. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57548-9_28.

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Gundewar, Swapnil K., and Prasad V. Kane. "Fuzzy FMEA Analysis of Induction Motor and Overview of Diagnostic Techniques to Reduce Risk of Failure." In Reliability, Safety and Hazard Assessment for Risk-Based Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9008-1_78.

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e Nascimento, Navar de Medeiros Mendonça, Cláudio Marques de Sá Medeiros, and Pedro Pedrosa Rebouças Filho. "A Comparison of Machine Learning Methods to Identify Broken Bar Failures in Induction Motors Using Statistical Moments." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76348-4_13.

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Sheikh, Muhammad Aman, Nordin B. Saad, Nursyarizal Mohd Nor, Sheikh Tahir Bakhsh, and Muhammad Irfan. "Invasive Methods to Diagnose Stator Winding and Bearing Defects of an Induction Motors." In Advances in Computer and Electrical Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6989-3.ch006.

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Condition monitoring in an induction motor must concentrate on the root causes of the failure modes that exhibit a slow failure sequence. According to published surveys, two-fifths of the faults are due to bearing failures. Inter-turn short circuit faults in stator windings are approximately responsible for one-third of the motor faults. In the last few decades, various methods and alternative techniques have been proposed and implemented to diagnose induction motor faults. In an induction motor, stator winding and bearing faults account the largest percentage of motor failure. Due to the fact these faults can lead the motor to catastrophic failure that are expensive in term of maintenance cost, wastage raw material, and unplanned shutdown. Thus, to diagnose the state of motor and overcome existing problem, the chapter provides detailed invasive methods which are proposed and are currently in practice. Moreover, the chapter also highlights the limitation, scope, and the challenges of existing invasive condition monitoring techniques.
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Kumar, K. Vinoth, and Prawin Angel Michael. "Analysis of Sidebands Failures in Asynchronous Drives." In Strategic Applications of Measurement Technologies and Instrumentation. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5406-6.ch004.

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This chapter deals with the diagnosis of induction motors (IM) with the so-called motor current signature analysis (MCSA). The MCSA is one of the most efficient techniques for the detection and the localization of electrical and mechanical failures, in which faults become apparent by harmonic components around the supply frequency. This chapter presents a summary of the most frequent faults and its consequences on the stator current spectrum of an IM. A three-phase IM model was used for simulation taking into account in one hand the normal healthy operation and in the other hand the broken rotor bars, the shorted turns in the stator windings, the voltage unbalance between phases of supply, and the abnormal behavior of load. The MCSA is used by many authors in literature for faults detection of IM. The major contribution of this work is to prove the efficiency of this diagnosis methodology to detect different faults simultaneously, in normal and abnormal functional conditions. The results illustrate good agreement between both simulated and experimental results.
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Samanta, Anik Kumar, Arunava Naha, Devasish Basu, Aurobinda Routray, and Alok Kanti Deb. "Online Condition Monitoring of Traction Motor." In Advances in Civil and Industrial Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0084-1.ch020.

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Squirrel Cage Induction Motors (SCIMs) are major workhorse of Indian Railways. Continuous online condition monitoring of the SCIMs like Traction Motor (TM) are essential to prevent unnecessary stoppage time in case of a complete failure. Before a complete failure, the TMs generally develop incipient or weak faults. Weak faults have minute influence on the motor performance but eventually leads to complete failure of the motor. If these weak faults are identified at the earliest then, a scheduled maintenance can be planned which will prevent any unplanned stoppage. The signals used for SCIM fault detection are motor current, voltage, vibration, temperature, voltage induced in search coil, etc. The most popular fault detection technology is based on Motor Current Signature Analysis (MCSA). MCSA based online and onboard TM condition monitoring system can be very useful for Indian railways to reduce the cost of operation and unplanned delay by shifting from unnecessary scheduled maintenance to condition-based maintenance of TM and other auxiliary SCIMs.
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Maheswari M. and Gunasekharan S. "Types of Faults and Condition Monitoring Methods of Induction Motors." In Advances in Computer and Electrical Engineering. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6989-3.ch007.

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Induction motors are the electromechanical devices used to convert electrical energy into mechanical energy and work under the principle of mutual inductance. They have stator and rotor as two major parts. They run at constant speed when the supply voltage and frequency are constant and are suited for constant speed drives. They have rugged construction but working environment causes different faults. As per IEEE and EPRI study on induction motor faults, bearing fault and stator faults are 46% and 36%, respectively. The broad categories of the fault are stator winding fault, broken rotor fault, rotor mass unbalance fault, bowed rotor faults, single phasing fault, bearing fault, and crawling. Unbalanced stator voltage and current, oscillations in torque, drop in efficiency and torque, overheating and unwarranted vibration are the effects of these faults. Undetected faults cause complete failure of motor and it is costly in terms of lost production time, maintenance cost, and wasted raw materials.
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Conference papers on the topic "Induction motor failures"

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Bonaldi, E. L., L. E. L. Oliveira, J. G. Borges da Silva, G. Lambert-Torres, and L. E. Borges da Silva. "Detecting load failures using the induction motor as a transducer." In 2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008). IEEE, 2008. http://dx.doi.org/10.1109/icarcv.2008.4795516.

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Stettenbenz, Michael, Yiqi Liu, and Ali Bazzi. "Smooth switching controllers for reliable induction motor drive operation after sensor failures." In 2015 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, 2015. http://dx.doi.org/10.1109/apec.2015.7104685.

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Kaufman, Nicole M., Daniel Welch, and Richard R. Johnson. "A 100 Motor Study: Investigating Pre-EPA Motors as a Subset of the Industrial Motor Population for Its Effects on the Economic of Motor Replacement, Preliminary Results." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79693.

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In the absence of hard data, the engineering world tends to be overly conservative in estimating benefits of change. The hypothesis herein discussed is that with hard data, the economics of motor repair/replace decisions could change significantly. If true, this could appreciably boost the efficiency of the industrial motor population by affecting the penetration of high-efficiency motors, such as NEMA Premiums. The energy savings from motor replacement depend on the difference between the efficiency of the new motor and the old motor. There has been a great deal of work investigating new moto
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Lykova, Natalia, and Danila Martiushev. "Using ESP Permanent Magnet Motor Technology in High-Temperature Geothermal Applications." In SPE Gulf Coast Section Electric Submersible Pumps Symposium. SPE, 2021. http://dx.doi.org/10.2118/204484-ms.

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Abstract Geothermal energy is one of the more efficient renewable energy sources. It uses heat from the Earth's interior to produce electricity in geothermal power plants. In binary cycle power plants, geothermal water can often be produced naturally from high-pressure wells. But when reservoir pressure drops, these power plants need to add artificial lift to continue to produce needed quantities of hot water. The geothermal industry is looking at electrical submersible pumping (ESP) systems as a way to improve geothermal fluid production. But ESPs were designed for the conditions in oil wells
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Boukhnifer, Moussa, Aziz Raisemche, Demba Diallo, and Cherif Larouci. "Fault tolerant control to mechanical sensor failures for Induction Motor drive: A comparative study of voting algorithms." In IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2013. http://dx.doi.org/10.1109/iecon.2013.6699583.

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Sarkar, S., S. Das, P. Purkait, and S. Chakravorti. "Application of wavelet transform to discriminate induction motor stator winding short circuit faults from incipient insulation failures." In 2012 1st International Conference on Power and Energy in NERIST (ICPEN). IEEE, 2012. http://dx.doi.org/10.1109/icpen.2012.6492318.

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Sarkar, S., S. Das, and P. Purkait. "Wavelet and SFAM based classification of induction motor stator winding short circuit faults and incipient insulation failures." In 2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON). IEEE, 2013. http://dx.doi.org/10.1109/catcon.2013.6737505.

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Muxiri, Ananias C. P., Fernando Bento, D. S. B. Fonseca, and Antonio J. Marques Cardoso. "Thermal Analysis of an Induction Motor Subjected to Inter-Turn Short-Circuit Failures in the Stator Windings." In 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE, 2019. http://dx.doi.org/10.1109/icieam.2019.8743076.

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Goktas, T., M. Arkan, and O. F. Ozguven. "A new method to separate broken rotor failures and low frequency load oscillations in three-phase induction motor." In 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives - (SDEMPED 2013). IEEE, 2013. http://dx.doi.org/10.1109/demped.2013.6645706.

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Araujo, R. S., R. A. Rodrigues, Helder de Paula, Braz J. C. Filho, L. M. R. Baccarini, and A. V. Rocha. "Premature wear and recurring bearing failures in an inverter driven induction motor— Part II: The proposed solution." In 2013 IEEE Industry Applications Society Annual Meeting. IEEE, 2013. http://dx.doi.org/10.1109/ias.2013.6682570.

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