Academic literature on the topic 'Winding InterTurn fault'

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Journal articles on the topic "Winding InterTurn fault"

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Jiang, Hong-Chun, Yu-Ling He, Gui-Ji Tang, and Xing-Hua Yuan. "Electromagnetic Force and Mechanical Response of Turbo-Generator End Winding under Electromechanical Faults." Mathematical Problems in Engineering 2021 (December 23, 2021): 1–19. http://dx.doi.org/10.1155/2021/9064254.

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This paper comparatively studies the electromagnetic force and mechanical response of the end winding before and after 3 kinds of typical electromechanical faults in turbo-generator. The analytical expression of electromagnetic force of end winding is derived under the composite fault of static eccentricity and rotor interturn short circuit. Meanwhile, the three-dimensional transient finite element simulation is carried on, and the frequency composition and amplitude variation characteristics of the radial, axial, and tangential electromagnetic force are analyzed for the end windings under static eccentricity, rotor interturn short circuit, and composite fault. Therefore, it provides a reference for the vibration wear detection and electromagnetic force control of the end winding. Moreover, the maximum stress and deformation of different positions on the end involute are obtained. And the three-directional vibration acceleration characteristics of the end winding are further analyzed. Finally, the distribution law of winding fatigue failure and vibration wear is acquired, which lays a foundation for the reverse suppression of end winding fatigue failure and insulation wear.
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Zhu, Nan, Ji Li, Lei Shao, Hongli Liu, Lei Ren, and Lihua Zhu. "Analysis of Interturn Faults on Transformer Based on Electromagnetic-Mechanical Coupling." Energies 16, no. 1 (2023): 512. http://dx.doi.org/10.3390/en16010512.

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A running transformer frequently experiences interturn faults; they are typically difficult to detect in their early stages but eventually progress to interturn short circuits, which cause damage to the transformer. Therefore, finding out the fault mechanism of the full interturn fault process can provide a theoretical basis for transformer fault detection. In this paper, an electromagnetic-solid mechanics coupled finite element model consistent with an actual oil-immersed three-phase transformer is established. The transient process of winding from interturn discharge to interturn short circuit is simulated to study the electromagnetic characteristics as well as the mechanical characteristics during transformer failure. The model parameters of the transformer are simulated to obtain the fault current, electromagnetic parameters and other performance parameters to study the characteristics of the magnetic field and coil force when interturn faults occur. Finally, the vibration of the transformer casing is used to detect as well as diagnose the transformer fault situation, providing a theoretical basis for the study of transformer detection and diagnosis capability improvement measures.
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Nie, Hongyan, Hongxin Wang, Wei Wang, and Yuanhang Yao. "Detection of Interturn Short-Circuit Faults in Dry-Type Voltage Transformers Using the Pulse Voltage Method." Energies 16, no. 19 (2023): 6883. http://dx.doi.org/10.3390/en16196883.

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This article investigates the application of the pulse voltage method for detecting interturn short-circuit faults in the high-voltage windings of dry-type voltage transformers. We determined the characterization parameters of the high-voltage windings of dry-type voltage transformers and trends in the variation of the characterization parameters with frequency in the presence and absence of faults. The viability of using the pulse voltage method for the detection of interturn short-circuit faults in dry-type voltage transformers was analyzed. A pulse voltage test platform was designed to analyze the response voltage waveforms using pulse-oscillating voltage experiments on transformers with various short-circuit faults. The results demonstrate that during a turn-to-turn short circuit, the equivalent resistance and inductance of a high-voltage winding are significantly lowered. When employing the pulse voltage method to investigate interturn short-circuit faults, tiny inductors are connected in parallel to produce an oscillating voltage waveform that is more uniform. Upon incurring a short circuit between turns, the pulse’s oscillating voltage frequency increases. The greater the number of turns in the short-circuit fault is, the more significant the effect of the test.
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Rajamany, Gayatridevi, Sekar Srinivasan, Krishnan Rajamany, and Ramesh K. Natarajan. "Induction Motor Stator Interturn Short Circuit Fault Detection in Accordance with Line Current Sequence Components Using Artificial Neural Network." Journal of Electrical and Computer Engineering 2019 (December 11, 2019): 1–11. http://dx.doi.org/10.1155/2019/4825787.

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The intention of fault detection is to detect the fault at the beginning stage and shut off the machine immediately to avoid motor failure due to the large fault current. In this work, an online fault diagnosis of stator interturn fault of a three-phase induction motor based on the concept of symmetrical components is presented. A mathematical model of an induction motor with turn fault is developed to interpret machine performance under fault. A Simulink model of a three-phase induction motor with stator interturn fault is created for extraction of sequence components of current and voltage. The negative sequence current can provide a decisive and rapid monitoring technique to detect stator interturn short circuit fault of the induction motor. The per unit change in negative sequence current with positive sequence current is the main fault indicator which is imported to neural network architecture. The output of the feedforward backpropagation neural network classifies the short circuit fault level of stator winding.
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Mahtani, Kumar, José M. Guerrero, Luis F. Beites, and Carlos A. Platero. "Model-Based Field Winding Interturn Fault Detection Method for Brushless Synchronous Machines." Machines 10, no. 12 (2022): 1227. http://dx.doi.org/10.3390/machines10121227.

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The lack of available measurements makes the detection of electrical faults in the rotating elements of brushless synchronous machines particularly challenging. This paper presents a novel and fast detection method regarding interturn faults at the field winding of the main machine, which is characterized because it is non-intrusive and because its industrial application is straightforward as it does not require any additional equipment. The method is built upon the comparison between the theoretical and the measured exciter field currents. The theoretical exciter field current is computed from the main machine output voltage and current magnitudes for any monitored operating point by means of a theoretical healthy brushless machine model that links the main machine with the exciter. The applicability of the method has been verified for interturn faults at different fault severity levels, both through computer simulations and experimental tests, delivering promising results.
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Deeb, Muhammad, Gassan Ibragim, and Talal Assaf. "Diagnostics of Stator Winding Faults in a Three-Phase Asynchronous Motor Using Park’s Vector Analysis." Vestnik MEI, no. 5 (2021): 69–74. http://dx.doi.org/10.24160/1993-6982-2021-5-69-74.

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The study addresses the problem of detecting a short circuit fault in the three-phase induction motor winding by monitoring the stator current Park vector (Lissajous curves). Park's vector model is implemented using the Matlab software package. The experimental part of the study was carried out on an 11 kW three-phase induction motor. The Lissajous curves obtained for a healthy motor and a motor with short-circuited turns under various load conditions were compared with each other. The obtained results have demonstrated the effectiveness of the proposed method for detecting interturn short circuit faults in the three-phase stator windings of induction motors.
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Yang, Zhongyi, and Yiguang Chen. "Interturn Short-Circuit Fault Detection of a Five-Phase Permanent Magnet Synchronous Motor." Energies 14, no. 2 (2021): 434. http://dx.doi.org/10.3390/en14020434.

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Interturn short circuits are a common fault of permanent magnet synchronous motors (PMSMs). This paper proposes a new method to detect the interturn short-circuit fault (ISCF) of a five-phase PMSM. The method first takes the command voltage and measured current of each phase winding as the original signal and then obtains the delay signal orthogonal to the original signal via Hilbert transform. Then, the generalized instantaneous reactive power of each phase can be calculated from the orthogonal voltage and current signals of each phase. Finally, the influence of the ISCF on the generalized instantaneous reactive power of each phase is analyzed under different working conditions. By comparing the difference in the generalized instantaneous reactive power of each phase, it can be determined which phase winding has the ISCF. The proposed method is verified by simulated and experimental results.
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Chang, Xianghui, Dezhi Chen, Peng Zhao, and Youhua Gao. "Research on Winding Dynamic Force and Displacement of Winding in Interturn Short Circuit of Stereo Roll Iron Core Transformer." Journal of Physics: Conference Series 2774, no. 1 (2024): 012103. http://dx.doi.org/10.1088/1742-6596/2774/1/012103.

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Abstract The short circuit fault between the turns of the transformer winding accounts for 60% ∼ 70% of the whole winding fault, which seriously adversely impacts the regular functioning of the transformer. This study focuses on analysing the dynamic force and displacement characteristics of the winding in a stereo roll iron core transformer when an inter-turn short circuit occurs. First, a stereo roll iron core transformer finite element model in three dimensions is created. The electromagnetic-solid mechanics coupling method is used to figure out and study the transformer winding’s inter-turn short-circuiting current, leaking electromagnetic field, dynamic force, and displacement distributions. Furthermore, an experimental platform is built to simulate the inter-turn short-circuiting of a stereo roll iron core transformer. The displacement in the time domain and the acceleration in the frequency domain of the winding during the short circuit that occurs between turns will be recorded and analyzed. Finally, it is concluded that under normal working conditions, the winding vibration frequency is between 100 ∼ and 500 Hz. After 19 turns of the short circuit, the winding displacement increases by 32% ∼ 60%, and the high-order harmonic content of the winding vibration frequency increases significantly.
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Pietrzak, Przemysław, and Marcin Wolkiewicz. "Condition Monitoring and Fault Diagnosis of Permanent Magnet Synchronous Motor Stator Winding Using the Continuous Wavelet Transform and Machine Learning." Power Electronics and Drives 9, no. 1 (2024): 106–21. http://dx.doi.org/10.2478/pead-2024-0007.

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Abstract Applying the condition monitoring technology to industrial processes can help detect faults in time, minimise their impact and reduce the cost of unplanned downtime. Since the introduction of the Industry 4.0 paradigm, many companies have been investing in the development of such technology for drive systems. Permanent magnet synchronous motors (PMSMs) have recently been used in many industries. Therefore, the issues of condition monitoring of PMSM drives are important. This study proposes and compares diagnostic schemes based on the stator phase currents (SPCSCs) signal for condition monitoring and fault diagnosis of PMSM stator winding faults. The continuous wavelet transform (CWT) is used for the extraction of the symptoms of interturn short circuits in PMSM stator winding. Machine learning algorithms are applied to automate the detection and classification of the faults. The concept for an original and intelligent PMSM stator winding condition monitoring system is proposed.
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Auckland, D. W. "Novel approach to alternator field winding interturn fault detection." IEE Proceedings - Generation, Transmission and Distribution 142, no. 2 (1995): 97. http://dx.doi.org/10.1049/ip-gtd:19951712.

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Dissertations / Theses on the topic "Winding InterTurn fault"

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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 conventional winding fault methods based on signal processing of the stator voltage and stator current residuals were verified. Three new winding fault detection methods were developed by the author. These methods use a modified motor model and the extended Kalman filter state estimator. Practical implementation of the algorithms on a microcontroller is described and experimental results show the performance of the presented algorithms in different scenarios on test bench measurements. Highly related motor control loop sensors fault detection algorithms are also described. These algorithms are complementary to winding fault algorithms. The decision mechanism integrates outputs of sensor and winding fault detection algorithms and provides an overall drive fault diagnosis concept.
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Book chapters on the topic "Winding InterTurn fault"

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Qi, Bo, Jiantao Sun, Shupeng Yang, Kehan Zhu, Meng Huang, and Heli Ni. "Study on Early Fault Characteristics of Interturn Discharge in Transformer Winding Under Different Oil Temperature Conditions." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1856-9_38.

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Conference papers on the topic "Winding InterTurn fault"

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Li, Junqing, Weiming Shi, and Qiujia Li. "Research on interturn short circuit fault location of rotor winding in synchronous electric machines." In 2017 20th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2017. http://dx.doi.org/10.1109/icems.2017.8056040.

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Krishna, Merugu Siva Rama, Danwei Wang, Jeevanand Seshadrinath, Viet Hung Nguyen, and Viswanathan Vaiyapuri. "Investigation on stator winding interturn fault in induction motor using the autotransformer based approach." In 2017 14th IEEE India Council International Conference (INDICON). IEEE, 2017. http://dx.doi.org/10.1109/indicon.2017.8487808.

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Zhong, Hao, Yuling He, Guiji Tang, Yuchao Meng, and Weiqi Deng. "Analysis on exciting winding electromagnetic force of Turbo-generator under rotor interturn short circuit fault." In 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/aest-16.2016.67.

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Zheng An Ping, Yang Juan, and Wang Ling. "Fault Detection of Stator Winding Interturn Short Circuit in PMSM Based on Wavelet Packet Analysis." In 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/icmtma.2013.141.

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Tong Liu, Jin Huang, and Jiaqiang Yang. "Diagnostic Method of Induction Motor Stator Winding Interturn Short Circuit Fault Based on the Feature Impedance." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1714170.

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Praneeth, A. V. J. S., N. Vijaya Anand, K. S. Sandhu, and Sheldon S. Williamson. "Analysis and Modeling of Three Winding Stator Interturn Fault on Induction Machine for Electric Vehicle Application." In 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2018. http://dx.doi.org/10.1109/pedes.2018.8707867.

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Yan, Decheng, Tunan Shen, Ahmet Kilic, and Hans-Christian Reuss. "New Fault Detection Method for Interturn Short Circuit on Stator Winding of IPMSM for Highly Automated Driving Applications." In 2019 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2019. http://dx.doi.org/10.1109/sii.2019.8700411.

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Hamatwi, Ester, and Paul Barendse. "Condition Monitoring and Fault Diagnosis of Stator and Rotor Interturn Winding Faults in a DFIG-based Wind Turbine System: A Review." In 2020 International SAUPEC/RobMech/PRASA Conference. IEEE, 2020. http://dx.doi.org/10.1109/saupec/robmech/prasa48453.2020.9040981.

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Oliveira, Atila Girao de, Ricardo Silva The Pontes, and Claudio Marques de Sa Medeiros. "Neural Network Used to Stator Winding Interturn Short-Circuit Fault Detection in an Induction Motor Driven by Frequency Converter." In 2013 BRICS Congress on Computational Intelligence & 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC). IEEE, 2013. http://dx.doi.org/10.1109/brics-cci-cbic.2013.82.

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Jettanasen, C., A. Ngaopitakkul, and C. Apisit. "Behavior of Interturn Fault in Transformer Windings using Discrete Wavelet Transform." In Power and Energy Systems. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.701-161.

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