Relevant bibliographies by topics / Stator inter-turn short-circuit

Contents

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

Academic literature on the topic 'Stator inter-turn short-circuit'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Stator inter-turn short-circuit"

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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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Xu, Bo Qiang, and Jing Ting Wang. "Fault Analysis of Stator Inter-Turn Short Circuit in Doubly Fed Induction Machines." Advanced Materials Research 912-914 (April 2014): 679–83. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.679.

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The doubly fed induction generator (DFIG) is an important component of wind turbine systems,so the fault analysis is great necessary.This paper shows a way to analysis the features of stator inter-short circuit fault,which is based on multi-circuit theory.The fault features of stator inter-turn short circuit in doubly fed induction are analyzed in this paper,deeply and thoroughly.Then a multi-loop model was carried out to simulate 5.5kW DFIG ,which was in normal conditions and in cases of fault of stator inter-turn short circuit,respectively.A fourier transformation was applied to analysis the
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Wang, Luo, Yonggang Li, and Junqing Li. "Diagnosis of Inter-Turn Short Circuit of Synchronous Generator Rotor Winding Based on Volterra Kernel Identification." Energies 11, no. 10 (2018): 2524. http://dx.doi.org/10.3390/en11102524.

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The inter-turn short circuit is a common fault in the synchronous generator. This fault is not easily detected at early stage. However, with the development of the fault, it will pose a threat to the safe operation of the generator. To detect the inter-turn short circuit of rotor winding, the feasibility of identifying the stator branch characteristics of synchronous generator during inter-turn short circuit was analyzed. In this paper, an on-line fault identification method based on Volterra kernel identification is presented. This method uses the stator branch voltage and stator unbalance br
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Liang, Hong, Yong Chen, Siyuan Liang, and Chengdong Wang. "Fault Detection of Stator Inter-Turn Short-Circuit in PMSM on Stator Current and Vibration Signal." Applied Sciences 8, no. 9 (2018): 1677. http://dx.doi.org/10.3390/app8091677.

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The stator inter-turn short circuit fault is one of the most common and key faults in permanent magnet synchronous motor (PMSM). This paper introduces a time–frequency method for inter-turn fault detection in stator winding of PMSM using improved wavelet packet transform. Both stator current signal and vibration signal are used for the detection of short circuit faults. Two different experimental data from a three-phase PMSM were processed and analyzed by this time–frequency method in LabVIEW. The feasibility of this approach is shown by the experimental test.
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Sergey Goolak, Juraj Gerlici, Oleg Gubarevych, Tomáš Lack, and Mikhail Pustovetov. "Imitation Modeling of an Inter-Turn Short Circuit of an Asynchronous Motor Stator Winding for Diagnostics of Auxiliary Electric Drives of Transport Infrastructure." Communications - Scientific letters of the University of Zilina 23, no. 2 (2021): C65—C74. http://dx.doi.org/10.26552/com.c.2021.2.c65-c74.

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A scientific approach to calculating the parameters and characteristics of an asynchronous motor in the inter-turn short circuit mode in one phase of the stator is proposed to create the foundations of a diagnostic complex for assessing the condition of asynchronous motors of the transport infrastructure. This approach consists of the fact that in the model with which the research is carried out, it is proposed to take into account changes in the mutual inductance of the motor when the AC impedance of one of the stator phases changes. Using a new approach to modeling processes occurring in an
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Li, Junqing, Chengzhi Zhang, Yuling He, Xiaodong Hu, Jiya Geng, and Yapeng Ma. "Impact of Inter-Turn Short Circuit in Excitation Windings on Magnetic Field and Stator Current of Synchronous Condenser under Unbalanced Voltage." Energies 16, no. 15 (2023): 5695. http://dx.doi.org/10.3390/en16155695.

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Inter-turn short circuit in the excitation windings of synchronous condensers is a common fault that directly impacts their normal operation. However, current fault analysis and diagnosis of synchronous condensers primarily rely on voltage-balanced conditions, while research on short-circuit faults under unbalanced voltage conditions is limited. Therefore, this paper aims to analyze the fault characteristics of inter-turn short circuits in the excitation windings of synchronous condensers under unbalanced grid voltage. Mathematical models were developed to represent the air gap flux density an
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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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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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Cherif, Hakima, Madiha Maamir, and Seif Eddine Chehaidia. "Analysis for inter turn stator fault with load variation in Induction Motor." International Journal of Energetica 8, no. 1 (2023): 12. https://doi.org/10.47238/ijeca.v8i1.215.

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This paper investigates the impact of load variation on the diagnosis of inter-turn stator faults in induction machines. The proposed detection technique relies on the analysis of stator current using the discrete wavelet transform (DWT) in both normal and faulty states of the machine. The energy of the approximation and detail signals obtained from DWT provides valuable information about the machine's health and the severity of the inter-turn stator faults. Experimental tests were conducted using a dSpace 1104 signal card-based interface to study the load effects in detecting and diagnosing s
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Pietrowski, Wojciech. "Detection of time-varying inter-turn short-circuit in a squirrel cage induction machine by means of generalized regression neural network." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 1 (2017): 289–97. http://dx.doi.org/10.1108/compel-03-2016-0121.

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Purpose Diagnostics of electrical machines is a very important task. The purpose of this paper is the presentation of coupling three numerical techniques, a finite element analysis, a signal analysis and an artificial neural network, in diagnostics of electrical machines. The study focused on detection of a time-varying inter-turn short-circuit in a stator winding of induction motor. Design/methodology/approach A finite element method is widely used for the calculation of phase current waveforms of induction machines. In the presented results, a time-varying inter-turn short-circuit of stator
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Dissertations / Theses on the topic "Stator inter-turn short-circuit"

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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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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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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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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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Filleau, Clément. "Mise en place d'une méthodologie de modélisation en vue du diagnostic des défauts électriques des alternateurs." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/19288/1/Filleau.pdf.

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Devant la forte demande mondiale en énergie électrique, les alternateurs à diodes tournantes constituent une solution largement répandue dans les installations de génération d’électricité de fortes puissances (hydraulique, fossile et éolien) ainsi que dans les applications îlotées sous forme de groupes électrogènes ou de petits alternateurs intégrés dans les systèmes embarqués. La renommée de ce type d’alternateur s’est construite sur leurs robustes constitutions mécanique et électrique et sur leur parfaite adaptabilité au type de charge alimentée. Néanmoins, l’utilisation de ces machines dans
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Sinhal, Prachi. "Stator Inter Turn Short Circuit Fault Diagnosis in Three Phase Induction Motor Using Neural Networks." Thesis, 2015. http://ethesis.nitrkl.ac.in/7112/1/Stator_Sinhal_2015.pdf.

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In induction machine a number of faults occur namely bearing and insulation related faults, stator winding and rotor related faults. Among these, stator inter-turn fault is one of the most common faults.Therefore, this work deals with the diagnosis of inter turn short circuit fault in stator winding of an induction machine. These incipient faults need to be identified and cleared as soon as possible to reduce failures as well as maintenance cost.Conventional methods are time taking and require exact mathematical modelling of the machine. However, due to ageing effects the mathematical model ha
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Δάλλας, Στέφανος. "Υπολογισμός ηλεκτρομαγνητικών μεγεθών και πρόβλεψη συμπεριφοράς μιας σύγχρονης μηχανής με έκτυπους πόλους σε περιπτώσεις σφαλμάτων με τη χρήση της μεθόδου των πεπερασμένων στοιχείων". Thesis, 2012. http://hdl.handle.net/10889/5429.

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Η παρούσα διδακτορική διατριβή πραγματεύεται τη λειτουργική συμπεριφορά μιας σύγχρονης μηχανής με έκτυπους πόλους κατά τη διάρκεια δύο ειδών σφαλμάτων, τα οποία παρουσιάζονται παρακάτω, για τις δύο συνθήκες σύνδεσης μίας σύγχρονης γεννήτριας με το δίκτυο. Ειδικότερα, μελετήθηκε η περίπτωση βραχυκυκλώματος στην τροφοδοσία του τυλίγματος διέγερσης της σύγχρονης μηχανής όταν είναι συνδεδεμένη σε ισχυρό δίκτυο και είτε ο αριθμός στροφών αυτής διατηρείται απόλυτα σταθερός, είτε ένας ελεγκτής τη συγκρατεί στο σύγχρονο αριθμό στροφών. Ακόμη διερευνήθηκε η περίπτωση εσωτερικού σφάλματος στο τύλιγμα το
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Book chapters on the topic "Stator inter-turn short-circuit"

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Young-Jin, Goh, and Kim Kyoung-Min. "Diagnosis of Stator Fault by Inter-Turn Short Circuit for Three-Phase Induction Motor." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1165-9_56.

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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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Li, Junqing, Haibo Yu, and Lipeng Zhang. "Application of Ensemble Empirical Mode Decomposition on Stator Inter-turn Short-Circuit Fault in Doubly Fed Induction Generators." 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_9.

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Toumi, Sana, Mohamed Benbouzid, and Mohamed Faouzi Mimouni. "Modeling and Simulation of a PMSG-based Marine Current Turbine System with inter-turn faults." In Induction Motors - Recent Advances, New Perspectives and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.1000578.

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This chapter deals with modeling and simulation of a Permanent Magnet Synchronous Generator (PMSG)-based Marine Current Turbine (MCT) with inter-turn faults. The generator is modeled in healthy and faulty conditions by using the (abc) reference frame and the (dq) reference frame. Indeed, The PMSG, installed under the sea (existence of the swell and wave), can be exposed to a higher voltages and / or currents transited, which leads to the appearance of various faults. In this chapter, the faulty mode deals with the study of the stator inter-turn short circuit faults in the PMSG. In fact, this f
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Taha, Hussein A., M. E. Ammar, and M. A. Moustafa Hassan. "Modeling, Analysis, of Induction Motor's Stator Turns Fault Using Neuro-Fuzzy." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5788-4.ch020.

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This chapter discusses modeling and analysis methods for fault detection and diagnosis of stator inter-turn short circuit in three-phase induction machines. dq frame was used to model the induction motor for both health and fault cases to facilitate recognition of motor current and simulate motor environment. Fault diagnosis system was designed with adaptive neuro-fuzzy inference system (ANFIS) to provide an efficient online diagnostic tool. ANFIS diagnostic tool was trained with simulated data that generated by induction motor healthy and faulty models. Approached tool is verified online with
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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
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Javier Villalobos-Pina, Francisco, Josué A. Reyes-Malanche, Eduardo Cabal-Yepez, and Efrain Ramirez-Velasco. "Open Circuit Fault Diagnosis in Induction Motor Driver Inverter." In Induction Motors - Latest Research and Applications [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1006637.

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The induction machines are the power horses in the industry due to the practically null maintenance, this kind of machines are use in a widely group of industrial applications, and with the advance of power electronics these machines replace another kind, like direct current (dc) motors attributable to the evolution of control algorithms and the digital platforms. In this context, a methodology is proposed to detect and isolate faults, focusing on the inverter stage of Induction Machine motor drives, with a specific emphasis on Insulated Gate Bipolar Transistor (IGBT) faults, using phasor anal
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Conference papers on the topic "Stator inter-turn short-circuit"

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Barrett, Michael. "Detecting Stator Winding Inter-Turn Short-Circuit in Tidal Stream Turbines by Relative Value Temperature Analysis." In 2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2024. https://doi.org/10.1109/rtucon62997.2024.10830767.

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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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Nguyen, Thien Phuoc, Huynh Van Khang, and Kjell G. Robbersmyr. "Analytical Vibration Model of Stator Inter-Turn Short Circuit and Eccentricity in a Synchronous Generator at Different Loading Conditions." In 2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). IEEE, 2025. https://doi.org/10.1109/wemdcd61816.2025.11014134.

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Duvvuri, Sssr Sarathbabu, Vanapalli Bhavana, Pitchika Lohitha Durga Bhavani, Ruddarraju Mounika, Ravuri Pujitha та Yarramsetti Rama Sri Sahithi. "Model-Based Stator Inter-Turn Short-Circuit Fault Detection and Diagnosis in Interior-Mount Line-Start 3-Φ Permanent Magnet Synchronous Motors". У 2024 International Conference on Sustainable Power & Energy (ICSPE). IEEE, 2024. https://doi.org/10.1109/icspe62629.2024.10924324.

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Qin, Peng, Zhiyan Zhang, Yusheng Sun, Hua Liu, and Haizhou Ren. "Vibration Analysis of DFIG Stator Winding Inter-turn Short Circuit Fault." In 2018 International Conference on Information Systems and Computer Aided Education (ICISCAE). IEEE, 2018. http://dx.doi.org/10.1109/iciscae.2018.8666886.

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Tao, Wen-Qiang, Yan-pu Zhao, and Shu-Can Cheng. "Stator Temperature Analysis of Turbogenerator in Rotor Inter-Turn Short Circuit." In 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021. http://dx.doi.org/10.1109/cieec50170.2021.9510622.

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Ebrahimi, Saeed Hasan, Martin Choux, and Van Khang Huynh. "Modeling Stator Winding Inter-Turn Short Circuit Faults in PMSMs including Cross Effects." In 2020 International Conference on Electrical Machines (ICEM). IEEE, 2020. http://dx.doi.org/10.1109/icem49940.2020.9270890.

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Dawed, Hamdihun A., Khaled Al Jaafari, and Abdul R. Beig. "Stator Inter-Turn Short Circuit Fault Diagnosis using Wavelet Scattering Network Feature Extraction." In 2023 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, 2023. http://dx.doi.org/10.1109/iemdc55163.2023.10239002.

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Ethni, S. A., S. M. Gadoue, and B. Zahawi. "Inter-turn short circuit stator fault identification for induction machines using computational intelligence algorithms." In 2015 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.7125189.

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Yihan Zhao, Yu Chen, Lulu Wang, et al. "Experimental research and feature extraction on stator inter-turn short circuit fault in DFIG." In 2016 IEEE International Conference on Dielectrics (ICD). IEEE, 2016. http://dx.doi.org/10.1109/icd.2016.7547654.

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