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Relevant bibliographies by topics / Stator winding turn fault

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Academic literature on the topic 'Stator winding turn fault'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Stator winding turn fault"

1

Zamarrón, A., and M. A. Arjona. "Detection of Stator-Winding Turn-to-Turn Faults in Induction Motors, Based on Virtual Instrumentation." International Journal of Electrical Engineering & Education 47, no. 1 (2010): 63–72. http://dx.doi.org/10.7227/ijeee.47.1.6.

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A virtual instrumentation system for stator turn-to-turn winding-fault detection is presented in this paper. The system can be adopted for industry and academy as a useful tool to prevent unexpected downtime or severe damage to induction motors. The high-frequency carrier-signal injection technique is used to obtain information on machine stator winding. Measurements of the resulting negative-sequence current are used to detect turn-to-turn faults. Since the stator windings are fixed in space, a turn-to-turn fault gives rise to a stationary saliency which appears as a DC component in the spect

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Awachat, Mr Saurabh, Mr Piyush Raulkar, Mr Umesh Gakre, and Er Sandeep K. Mude. "Analysis and Simulation of Inter-Turn Fault Of Synchronous Generator Using MATLAB." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 593–97. http://dx.doi.org/10.22214/ijraset.2022.42174.

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Abstract: The paper represents a comprehensive analysis of the inter-turn faults of a synchronous generator. In today's power system, we have used three phase synchronous generator to generate electric power, thus we all always try to reduce the loss in order to improve the efficiency of the alternator. We basically focus more on the stator winding faults. Stator winding has unbalanced loading, field failure and stator winding fault (including line to ground fault, line to line fault and double line to ground fault, three phase fault and inter turn fault) Alternator stator inter turn faults ar

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Khadar, Saad. "Influence of a different fault scenarios on the properties of multi-phase induction machine." Algerian Journal of Engineering and Technology 02 (February 6, 2020): 0َ11–021. https://doi.org/10.5281/zenodo.3923074.

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This paper deals with the influence of a stator fault, power switch faults and open phase fault conditions on the properties of a five-phase induction machine under open-end stator winding (OeW-FPIM). This paper will develop an accurate mathematical model to simulate the faulty OeW-FPIM drives. The proposed model is based on the theory of electromagnetic coupling of electrical circuits coupled to the differential equation system governing the machine behavior in presence of the stator winding faults. In fact, when a short circuits between coils occurs, the stator winding function of the injure

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Zhang, Ming, Yi Ming Zhang, and Jiang Tao Tong. "Research on Stator Winding Inter Turn Short-Circuit Faults of Aeronautical Fault-Tolerant Machine Based on Maxwell 2D." Applied Mechanics and Materials 130-134 (October 2011): 119–23. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.119.

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Stator winding inter turn short-circuit fault is one of the most common internal faults of fault-tolerant machine, which can disconnect the fault phases and keep operating correctly in the event of a failure. Stator winding short-circuit fault model is established through analysis. Based on finite element method, the high-power density fault-tolerant machine internal magnetic field simulation and analysis is implemented using Maxwell2D and induced voltage frequency spectrum is analyzed by FFT method. The characteristics of stator winding short-circuit faults are summarized, which lay a solid f

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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.

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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 w

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Pietrzak, Przemyslaw, and Marcin Wolkiewicz. "On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm." Electronics 10, no. 15 (2021): 1786. http://dx.doi.org/10.3390/electronics10151786.

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The significant advantages of permanent magnet synchronous motors, such as very good dynamic properties, high efficiency and power density, have led to their frequent use in many drive systems today. However, like other types of electric motors, they are exposed to various types of faults, including stator winding faults. Stator winding faults are mainly inter-turn short circuits and are among the most common faults in electric motors. In this paper, the possibility of using the spectral analysis of symmetrical current components to extract fault symptoms and the machine-learning-based K-Neare

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Sang, Jun Yong, Chen Hao, and Peng Chao Wang. "Diagnosis of Stator Winding Inter-Turn Circuit Faults in Induction Motors Based on Wavelet Packet Analysis and Neural Network." Advanced Materials Research 529 (June 2012): 37–42. http://dx.doi.org/10.4028/www.scientific.net/amr.529.37.

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Aiming at the problem of the traditional stator current frequency spectrum analysis method cannot completely guarantee the accurate identification of stator winding inter-turn faults,the diagnosis method of stator winding inter-turn based on wavelet packet analysis (WPA) and Back Propagation (BP) neural network is put forward. The finite element model of the three-phase asynchronous motor which is based on Magnet is established, and analysis the magnetic flux density and current of the motor through simulation in normal and in the situation of short-circuit fault of stator winding inter-turn,

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Toumi, Djilali, Mohamed Boucherit, and Mohamed Tadjine. "Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault." Archives of Electrical Engineering 61, no. 2 (2012): 165–88. http://dx.doi.org/10.2478/v10171-012-0015-1.

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Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault This paper describes a fault-tolerant controller (FTC) of induction motor (IM) with inter-turn short circuit in stator phase winding. The fault-tolerant controller is based on the indirect rotor field oriented control (IRFOC) and an observer to estimate the motor states, the amount of turns involved in short circuit and the current in the short circuit. The proposed fault controller switches between the control of the two components of measured stator current in the synchron

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Gao, Cai Xia, Chen Hao, and Yue Bing Zhao. "Detection and Analysis of Stator Winding Inter-Turn Short Circuit Fault in Permanent Magnet Linear Synchronous Motor." Advanced Materials Research 529 (June 2012): 322–26. http://dx.doi.org/10.4028/www.scientific.net/amr.529.322.

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A two-dimensional finite element model of PMLSM is build based on the finite element analysis software Magnet to research the diagnosis of stator winding inter-turn short circuit fault in PMLSM. The velocity, thrust, the stator current performance curve are obtained by simulation using Magnet when PMLSM is normal and under different extent inter-turn short circuit fault, the harmonic content of speed and thrust are analyzed using Matlab / Simulink , the conclusion that the thrust of the harmonic content is used as the Permanent Magnet Linear Synchronous Motor (PMLSM) stator inter-turn short ci

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Fadzail, N. F., S. Mat Zali, M. A. Khairudin, and N. H. Hanafi. "Stator winding fault detection of induction generator based wind turbine using ANN." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 126. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp126-133.

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This paper presents a stator winding faults detection in induction generator based wind turbines by using artificial neural network (ANN). Stator winding faults of induction generators are the most common fault found in wind turbines. This fault may lead to wind turbine failure. Therefore, fault detection in induction generator based wind turbines is vital to increase the reliability of wind turbines. In this project, the mathematical model of induction generator based wind turbine was developed in MATLAB Simulink. The value of impedance in the induction generators was changed to simulate the

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Dissertations / Theses on the topic "Stator winding turn fault"

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Tallam, Rangarajan M. "Current-based sensorless detection of stator winding turn faults in induction machines." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/13429.

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Babu, Hareesh. "Finite-element analysis of an induction motor with inter-turn short-circuit faults." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-290082.

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Stator inter-turn short circuit (ITSC) faults are one of the common sources for induction machine failure affecting their reliable operation. In this thesis, a finite element (FE) model is developed to study the ITSC fault. The FE model is developed for a prototype induction machine that has the potential to emulate an ITSC fault in the stator. With the developed FE model of the prototype machine, a simulation study is performed to understand the behaviour of various electrical and magnetic quantities in time- and frequency-domain. The investigated quantities are potentially good signatures of

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Senthil, Kumar Sathiya Lingam. "Condition monitoring of induction machines using a signal injection technique." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289354.

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Condition monitoring techniques can be employed to enhance reliability of electric machinery. The stator winding fault is one of the dominant causes for the failure of induction machines. In this work, the condition monitoring of an inverter-fed induction machine using high-frequency signal injection based technique is investigated. Initially, an analytical model of the induction machine with a stator inter-turn fault is developed. Subsequently, the behaviour of the induction machine in the presence of stator inter-turn fault is analyzed using the symmetrical component theory. Because of their

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Cash, M. Alex. "Detection of turn faults arising from insulation failure in the stator windings of AC machines." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/15460.

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Oliveira, Ãtila GirÃo de. "Neural classifier aplied in stator winding inter-turn short circuit in three-phase induction motors driven by frequency converter." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12285.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>This dissertation reports applications of artificial neural networks to detect stator winding interturn fault of three phase induction motor drived by frequency inverter. The artificial neural networks, like Simple and Multilayer Perceptron, served as off-line classifiers to short-circuit fault condition or healthy condition. In the training of Multilayer Perceptron, two different algorithms are used: the error back-propagation, which is a classic algorithm, and the extreme learning machine, as a relative new alternative for the cl

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Lee, Youngkook. "A Stator Turn Fault Detection Method and a Fault-Tolerant Operating Strategy for Interior PM Synchronous Motor Drives in Safety-Critical Applications." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/16156.

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A stator turn fault in a safety-critical drive application must be detected at its initial stage and imperatively requires an evasive action to prevent a serious accident caused by an abrupt interruption in the drive s operation. However, this is much challenging for the case of an interior permanent magnet synchronous motor (IPMSM) drives because of the presence of the permanent magnets that cannot be turned off at will. This work tackles the problem of increase the stator turn fault tolerance of IPMSM drives in safety-critical applications. This objective is achieved by an on-line turn fa

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Singh, Bhanu Pratap. "Real-time detection of stator resistance unbalances in three phase drives." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286813.

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An estimated 30% of the faults in Induction Machine (IM) are related to its stator. These faults are mostly in the form of an Inter-Turn Short Circuit (ITSC) fault i.e., when two winding inside the stator of IM are shorted due to insulation failure. However, ITSC fault can be avoided by detecting them in advance and then scheduling the maintenance of the IM. This thesis studies two methods for detecting this incipient ITSC fault in a three-phase IM and then estimating the stator resistance unbalance due to the ITSC fault. The first method is based on the asymmetry caused in the IM by the ITSC

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Otava, Lukáš. "Algoritmy monitorování a diagnostiky pohonů se synchronními motory." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-447552.

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Permanent magnet synchronous machine drives are used more often. Although, synchronous machines drive also suffer from possible faults. This thesis is focused on the detection of the three-phase synchronous motor winding faults and the detection of the drive control loop sensors' faults. Firstly, a model of the faulty winding of the motor is presented. Effects of the inter-turn short fault were analyzed. The model was experimentally verified by fault emulation on the test bench with an industrial synchronous motor. Inter-turn short fault detection algorithms are summarized. Three existing conv

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Bilal, Habachi. "Diagnostic des systèmes de production de l’énergie Hybride Générateur/Mode moteur." Electronic Thesis or Diss., Corte, 2022. http://www.theses.fr/2022CORT0010.

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La sophistication et la multiplication des systèmes de production de l'énergie électrique de nos jours, caractérisent les évolutions technologiques ainsi que celles des sociétés humaines. L'énergie électrique provenant des systèmes de production est un facteur essentiel pour le développement et l’amélioration des conditions de vie et des activités industrielles. Dans les systèmes de production de l'énergie électrique, comme dans le domaine des entraînements électriques, pouvant fonctionner à vitesse variable, la machine asynchrone à double alimentation (MADA) occupe de plus en plus de place. C

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Haje, Obeid Najla. "Contribution à la détection des défauts statoriques des actionneurs à aimants permanents : Application à la détection d'un défaut inter-spires intermittent et au suivi de vieillissement." Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0214/document.

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Grâce à leurs avancées techniques en termes de poids, performances et fiabilité, les machines synchrones sont de plus en plus utilisées dans le domaine de transport et en particuliers dans l’aéronautique. Les stratégies de maintenances de ces systèmes électriques sont alors indispensables afin d'éviter des surcouts liés à des temps d'arrêt non planifiés. Ce document propose une analyse des conséquences d'un défaut inter-spires intermittent naissant dans l'enroulement statorique d'une Machine Synchrone à Aimants Permanents (MSAP). Ce type de défaut correspond à l'état peu avancé d'un futur cour

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Book chapters on the topic "Stator winding turn fault"

1

Majumdar, Pratyaya, Partha Mishra, Shubhasish Sarkar, and Santanu Das. "State-Space Model Based Induction Motor Stator Winding Inter-turn Fault Detection Technique." In Advances in Computer, Communication and Control. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3122-0_22.

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Verma, Amar Kumar, Aakruti Jain, and Sudha Radhika. "Neuro-fuzzy Classifier for Identification of Stator Winding Inter-turn Fault for Industrial Machine." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4775-1_12.

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Li, Junqing, Dong Wang, Ximei Wang, and Lipeng Zhang. "Fault Features Study of Doubly Fed Induction Generators on the Stator Windings Turn-to-Turn Short Circuit." In Proceedings of the Second International Conference on Mechatronics and Automatic Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13707-0_4.

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Karmakar, Subrata, Surajit Chattopadhyay, Madhuchhanda Mitra, and Samarjit Sengupta. "Stator Winding Fault." In Induction Motor Fault Diagnosis. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0624-1_6.

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Zhu, Liwei, Tonghua Wu, Wei Dai, Kunxian Zhang, Xiang Zhu, and Saisai Ni. "Scheme for Turn-to-Turn Fault Protection of Stepped Controllable Shunt Reactor Control Winding." In Proceedings of 2020 International Top-Level Forum on Engineering Science and Technology Development Strategy and The 5th PURPLE MOUNTAIN FORUM (PMF2020). Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9746-6_68.

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Tabet, Seddik, Adel ghoggal, and Salah Eddine Zouzou. "Impact of the Stator Winding Topology on the Fault Harmonic Components in Induction Motors." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6403-1_57.

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Nandi, Riju, Chiranjit Sain, Amarjit Roy, and Arnab Ghosh. "Deep learning-based stator winding fault detection of three phase induction motor using GoogLeNet." In Intelligent Computation and Analytics on Sustainable Energy and Environment. CRC Press, 2024. http://dx.doi.org/10.1201/9781003540199-28.

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Rajamany, Gayatridevi, and Sekar Srinivasan. "Neural Network Approach for Inter-turn Short-Circuit Detection in Induction Motor Stator Winding." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7868-2_52.

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Kumar, Rahul Ranjeev, Krish Kumar Raj, Shahil Kumar, Giansalvo Cirrincione, and Maurizio Cirrincione. "Detection and Classification of Low-Severity Stator Inter-Turn Faults in Induction Motors Using Temporal Features." In Intelligent Machinery Fault Diagnostics and Prognostics. CRC Press, 2025. https://doi.org/10.1201/9781003480822-5.

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Verma, Amar Kumar, P. Spandana, S. V. Padmanabhan, and Sudha Radhika. "Quantitative Modeling and Simulation for Stator Inter-turn Fault Detection in Industrial Machine." In Intelligent Computing and Communication. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1084-7_10.

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Conference papers on the topic "Stator winding turn fault"

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Masoud, Mahmoud I., Giorgos Skarmoutsos, Wenyue Mu, Zihao Song, Konstantinos N. Gyftakis, and Panagiotis A. Panagiotou. "Effects of the Inter-Turn Short-Circuit Fault in the Stator Winding of a 5-Phase Induction Motor." In 2024 International Conference on Electrical Machines (ICEM). IEEE, 2024. http://dx.doi.org/10.1109/icem60801.2024.10700099.

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Sharma, Naveenkumar R., Bhavesh R. Bhalja, and Om P. Malik. "Extreme Gradient Boosting Based Detection of Stator Winding Turn-to-Turn Faults During Start-up in VFD-Fed Induction Motors." In 2025 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2025. https://doi.org/10.1109/ias62731.2025.11061686.

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Verma, Amar Kumar, Afroz A. Saad, Anurag Choudhary, Shahab Fatima, and Bijaya Ketan Panigrahi. "Onboard fault diagnosis of incipient stator turn-turn failure for industrial machines." In Sixth International Conference on Image, Video Processing and Artificial Intelligence (IVPAI 2024), edited by Ruidan Su. SPIE, 2024. http://dx.doi.org/10.1117/12.3046499.

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Kapeller, H., C. Kral, F. Pirker, and G. Pascoli. "Stator winding turn fault detection for induction machines." In 2005 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (DEMPED). IEEE, 2005. http://dx.doi.org/10.1109/demped.2005.4662513.

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Wan, Shuting, and Yonggang Li. "Vibration Fault Diagnosis Method Based on Compositive Characteristics of Rotor Vibration and Stator Current." In ASME 2007 Power Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/power2007-22011.

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Rotor vibration characteristics are first analyzed, when the rotor winding inter-turn short circuit fault, the air-gap dynamic eccentricity fault, the air-gap static eccentricity fault and the imbalance fault occurs. Next, the generator stator current characteristics on the faults also were analyzed, the results show that the faults can’t be diagnosed based only on rotor vibration characteristics or stator current characteristics. But considering the differences of compositive characteristics of the rotor vibration and stator current caused by different rotor faults, a new method of generator

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Yu, Ming, Juan Xu, Danwei Wang, and VietHung Nguyen. "Prognosis of induction motor with stator winding shorted turn fault." In 2015 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2015. http://dx.doi.org/10.1109/icma.2015.7237791.

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Boileau, T., N. Leboeuf, B. Nahid-Mobarakeh, and F. Meibody-Tabar. "Stator winding inter-turn fault detection using control voltages demodulation." In 2012 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2012. http://dx.doi.org/10.1109/itec.2012.6243477.

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Pradhan, Sovit Kumar, and Rakesh Kumar Srivastava. "Analysis of PMSG under stator turn to turn fault using winding function theory." In 2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON). IEEE, 2013. http://dx.doi.org/10.1109/catcon.2013.6737483.

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Wan, Shuting, Heming Li, Yonggang Li, and Fanchao Meng. "Analysis of Turbo-Generator Circulating Current Between Stator Winding Parallel-Connected Branches Under Fault Conditions." In ASME 2005 Power Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pwr2005-50046.

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Firstly analyzes the generator parameters of air-gap magnetomotive force, magnetic permeability, magnetic flux density, the stator winding parallel-connected branches electromotive force distribution, and gets voltage difference and circulating current expressions between stator winding parallel-connected branches. Secondly, through analyzing the parameters changing on normal operation and fault condition, the circulating current characteristics are given based on the expressions, which are that hasn’t the circulating current when generator operates normally, and second harmonic circulating cu

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Zhang, Jingnan, Liqin Wu, and Tianhao Zhang. "Fault diagnosis of stator winding turn to turn short circuit of synchronous rectifier generator." In 2016 IEEE International Conference on Mechatronics and Automation. IEEE, 2016. http://dx.doi.org/10.1109/icma.2016.7558873.

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