Journal articles: 'Winding InterTurn fault'

1

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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10

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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Manuel, A. Mazzoletti, R. Gentile Francisco, D. Donolo Pablo, and R. Bossio Guillermo. "Online detection of interturn short-circuit fault in induction motor based on 5 th harmonic current tracking using Vold-Kalman filter." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 4 (2023): 3593–605. https://doi.org/10.11591/ijece.v13i4.pp3593-3605.

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In this paper we propose a strategy for real-time detection of interturn shortcircuit faults (ISCF) on three-phase induction motor (IM) by using a VoldKalman filter (VKF) algorithm. ISCF produce a thermal stress into the stator winding due to large current that flows through the short-circuited turns. Therefore, incipient fault detection is required in order to avoid catastrophic failures such as phase to phase, or phase to ground faults. The strategy is based on an analytical IM model that includes a ISCF fault in any of the phase windings and considering the h -th harmonic in the voltage supply. Based on equivalent electrical circuits with harmonics in sequence components, we propose a strategy for detection of an ISCF on IM by tracking the 5 th harmonic current component using a VKF algorithm. The proposed model is experimentally validated using a three-phase IM with modified stator windings to generate ISCF. Also, the IM is feeded by a programmable voltage source to synthesize distorted voltage supply with the 5 th harmonic. The results demonstrated that the positive-sequence magnitude for the 5 th harmonic current component is a good indicator of the fault severity once it exceeds a threshold limit value, even under load variations and unbalanced voltages.

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Ma, Minghan, Yonggang Li, Yucai Wu, and Chenchen Dong. "Multifield Calculation and Analysis of Excitation Winding Interturn Short Circuit Fault in Turbo-Generator." Energies 11, no. 10 (2018): 2626. http://dx.doi.org/10.3390/en11102626.

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Excitation winding interturn short circuit (EWISC) is a common fault in turbo-generators. Once the fault occurs, if not handled in time, it will result in significant security risks to the power system. Using the multifield characteristics of fault generators for a comprehensive diagnosis can make the diagnostic results more accurate and credible. In this paper, taking a TA-1100-78 type, two pole pairs turbo-generator as the research object, the two-dimensional finite element electromagnetic model of stator/rotor and the three-dimensional finite element heat transfer model of rotor were established. The electromagnetic field, temperature field, and stress field of the generator were simulated and analyzed. At the same time, the air gap magnetic field, three-dimensional temperature field, and stress field distribution of the rotor were calculated for EWISC faults in different fault degrees and positions. The results showed that the EWISC fault weakened the air gap magnetic field and caused unbalanced electromagnetic distribution. At the same time, it caused a distortion of the rotor temperature field, resulting in an unbalanced distribution of the temperature field. The stress field was affected by the distortion of temperature field, and the local thermal stress increased but did not exceed the yield limit of the material. Restorable elastic deformation occurred when the rotor was heated, which caused the thermal bending of the rotor. The method adopted in this paper can provide a reference for the calculation of multiphysical field after a generator fault. It is also pointed out that the thermal unbalance influence should not be neglected in the study of generator vibration characteristics.

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13

Xiao, Li, Qi Chen, Shuping Hou, Zhi Yan, and Yiming Tian. "Detection of an Incipient Fault for Dual Three-Phase PMSMs Using a Modified Autoencoder." Electronics 11, no. 22 (2022): 3741. http://dx.doi.org/10.3390/electronics11223741.

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For the detection of incipient interturn short-circuit (IITSC) faults of machines without shutting them down, there are still shortcomings of insufficient incipient fault features and a high false alarm rate. This is especially the case for dual three-phase permanent magnet synchronous motors (PMSMs) with complex winding structures, and this kind of incipient fault detection is more complicated. To solve this detection difficulty, an IITSC detection method for dual three-phase PMSMs is proposed based on a modified deep autoencoder (MDAE). This autoencoder (AE) adopts an improved distribution metric combined with the maximum mean discrepancy (MMD) and the maximum covariance discrepancy (MCD) to extract the fault feature from the common features, which can improve the feature difference between the normal state and the incipient fault state. Then, the permutation entropy of the extracted features is calculated to detect the IITSC faults. The results illustrate that this method can not only detect IITSC faults online effectively and robustly, but also reduce the false alarm rate of the fault detection for dual three-phase PMSMs.

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Pietrzak, Przemyslaw, Piotr Pietrzak, and Marcin Wolkiewicz. "Microcontroller-Based Embedded System for the Diagnosis of Stator Winding Faults and Unbalanced Supply Voltage of the Induction Motors." Energies 17, no. 2 (2024): 387. http://dx.doi.org/10.3390/en17020387.

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Induction motors (IMs) are one of the most widely used motor types in the industry due to their low cost, high reliability, and efficiency. Nevertheless, like other types of AC motors, they are prone to various faults. In this article, a low-cost embedded system based on a microcontroller with the ARM Cortex-M4 core is proposed for the extraction of stator winding faults (interturn short circuits) and an unbalanced supply voltage of the induction motor drive. The voltage induced in the measurement coil by the axial flux was used as a source of diagnostic information. The process of signal measurement, acquisition, and processing using a cost-optimized embedded system (NUCLEO-L476RG), with the potential for industrial deployment, is described in detail. In addition, the analysis of the possibility of distinguishing between interturn short circuits and unbalanced supply voltage was carried out. The effect of motor operating conditions and fault severity on the symptom extraction process was also studied. The results of the experimental research conducted on a 1.5 kW IM confirmed the effectiveness of the developed embedded system in the extraction of these types of faults.

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Pietrzak, Przemyslaw, Marcin Wolkiewicz, and Jan Kotarski. "Low-Cost Microcontroller-Based System for Condition Monitoring of Permanent-Magnet Synchronous Motor Stator Windings." Electronics 13, no. 15 (2024): 2975. http://dx.doi.org/10.3390/electronics13152975.

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Permanent-magnet synchronous motors (PMSMs) have played a key role in recent years in both industrial and commercial applications. Despite their many significant advantages, such as high efficiency, very good dynamics, and high power density, these types of motors are prone to various types of faults. This article proposes a low-cost microcontroller-based system for PMSM stator winding condition monitoring and fault diagnosis. It meets the demand created by the use of more and more low-budget solutions in industrial and commercial applications. A printed circuit board (PCB) has been developed to measure PMSM stator phase currents, which are used as diagnostic signals. The key components of this PCB are LEM’s LESR 6-NP current transducers. The acquisition and processing of diagnostic signals using a low-cost embedded system (NUCLEO-H7A3ZI-Q) with an ARM Cortex-M core is described in detail. A machine learning-driven KNN-based fault diagnostic algorithm is implemented to detect and classify incipient PMSM stator winding faults (interturn short-circuits). The effects of the severity of the fault and the motor operating conditions on the symptom extraction process are also investigated. The results of experimental tests conducted on a 2.5 kW PMSM confirmed the effectiveness of the developed system.

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Ortiz-Medina, Raul A., David A. Aragon-Verduzco, Victor A. Maldonado-Ruelas, Juan C. Olivares-Galvan, and Rafael Escalera-Perez. "Distinction Between Interturn Short-Circuit Faults and Unbalanced Load in Transformers." Applied System Innovation 8, no. 2 (2025): 50. https://doi.org/10.3390/asi8020050.

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Transformers are essential in electrical networks, and their failure can lead to the shutdown of a section or the entire grid. This study proposes a combination of techniques for early fault detection, distinguishing between small load imbalances and incipient interturn short circuits. An experimental setup was developed using a three-phase transformer bank with three single-phase dry-type transformers. One transformer was modified to create controlled short circuits of two and four turns and to simulate a load imbalance by reducing the winding by four turns. The main contribution of this research is the development of a combined diagnostic approach using instantaneous space phasor (ISP) spectral analysis and infrared thermal imaging to differentiate between load imbalances and incipient interturn short circuits in transformers. This method enhances early fault detection by identifying distinctive electrical and thermal signatures associated with each condition. The results could improve transformer monitoring, reducing the risk of failure and enhancing grid reliability.

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Mazzoletti, Manuel A., Francisco R. Gentile, Pablo D. Donolo, and Guillermo R. Bossio. "Online detection of interturn short-circuit fault in induction motor based on 5th harmonic current tracking using Vold-Kalman filter." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 4 (2023): 3593. http://dx.doi.org/10.11591/ijece.v13i4.pp3593-3605.

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In this paper we propose a strategy for real-time detection of interturn short-circuit faults (ISCF) on three-phase induction motor (IM) by using a Vold-Kalman filter (VKF) algorithm. ISCF produce a thermal stress into the stator winding due to large current that flows through the short-circuited turns. Therefore, incipient fault detection is required in order to avoid catastrophic failures such as phase to phase, or phase to ground faults. The strategy is based on an analytical IM model that includes a ISCF fault in any of the phase windings and considering the h-th harmonic in the voltage supply. Based on equivalent electrical circuits with harmonics in sequence components, we propose a strategy for detection of an ISCF on IM by tracking the 5th harmonic current component using a VKF algorithm. The proposed model is experimentally validated using a three-phase IM with modified stator windings to generate ISCF. Also, the IM is feeded by a programmable voltage source to synthesize distorted voltage supply with the 5th harmonic. The results demonstrated that the positive-sequence magnitude for the 5th harmonic current component is a good indicator of the fault severity once it exceeds a threshold limit value, even under load variations and unbalanced voltages.

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18

Pietrzak, Przemyslaw, and Marcin Wolkiewicz. "Fault Diagnosis of PMSM Stator Winding Based on Continuous Wavelet Transform Analysis of Stator Phase Current Signal and Selected Artificial Intelligence Techniques." Electronics 12, no. 7 (2023): 1543. http://dx.doi.org/10.3390/electronics12071543.

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High efficiency, high reliability and excellent dynamic performance have been key aspects considered in recent years when selecting motors for modern drive systems. These features characterize permanent magnet synchronous motors (PMSMs). This paper presents the application of continuous wavelet transform (CWT) and artificial intelligence (AI) techniques to the detection and classification of PMSM stator winding faults. The complex generalized Morse wavelet used for CWT analysis of three different diagnostic signals—the stator phase current, its envelope and the space vector module—is used to extract the symptoms most sensitive to the interturn short circuits (ITSCs) at the incipient stage of the damage. The effectiveness of automatic stator winding fault classification is compared for three selected ML algorithms: multilayer perceptron, support vector machine and k-nearest neighbors. The effect of the ML models’ hyperparameters on their accuracy is also verified. The high effectiveness of the proposed methodology is confirmed by the results of the experimental verification carried out for different load torque levels and supply voltage frequency values.

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Lin, Jinwei, Tao Ji, Han Zhu та ін. "Low-Cost Robust Detection Method of Interturn Short-Circuit Fault for Distribution Transformer Based on ΔU-I Locus Characteristic". Electronics 14, № 12 (2025): 2458. https://doi.org/10.3390/electronics14122458.

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Winding interturn short-circuit (ISCF) fault is a common problem which occurs in distribution transformers due to multiple internal and external factors. Unfortunately, the variations in electric parameters under a slight fault are tiny and hardly used as effective characteristics for the detection and protection system. To address this issue, a low-cost robust detection method of ISCF based on the port voltage–current (ΔU-I) locus characteristic is presented in this paper. The mathematical model of the three-phase distribution transformer with ISCF is first established. Then, the ΔU-I locus function and relevant characteristic parameters are analyzed, respectively, which can reflect the healthy and faulty conditions. The axis length ratio between the major axis length and the minor axis length in the ΔU-I ellipse curve is defined as the fault indicator for the sensitivity and robustness of fault diagnosis. Moreover, this method can reduce the number of sensors and has strong robustness against load fluctuations. In the end, the theoretical analysis and simulation results verify the effectiveness of the ΔU-I locus characteristic.

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Ahmed, Thamer Radhi, and Hussein Zayer Wael. "Faults diagnosis in stator windings of high speed solid rotor induction motors using fuzzy neural network." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 1 (2021): 597–611. https://doi.org/10.11591/ijpeds.v12.i1.pp597-611.

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The paper deals with faults diagnosis method proposed to detect the interturn and turn to earth short circuit in stator winding of three-phase highspeed solid rotor induction motors. This method based on negative sequence current of motor and fuzzy neural network algorithm. On the basis of analysis of 2-D electromagnet field in the solid rotor the rotor impedance has been derived to develop the solid rotor induction motor equivalent circuit. The motor equivalent circuit is simulated by MATLAB software to study and record the data for training and testing the proposed diagnosis method. The numerical results of proposed approach are evaluated using simulation of a three-phase high-speed solid-rotor induction motor of two-pole, 140 Hz. The results of simulation shows that the proposed diagnosis method is fast and efficient for detecting inter-turn and turn to earth faults in stator winding of high-speed solid-rotor induction motors with different faults conditions.

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Novozhilov, A. N., V. N. Goryunov, T. A. Novozhilov, and A. M. Akaev. "Simulation of an interturn fault in a stator winding of a synchronous condenser." Russian Electrical Engineering 87, no. 4 (2016): 199–201. http://dx.doi.org/10.3103/s1068371216040118.

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Pascual, Rubén, Eduardo Rivero, José M. Guerrero, Kumar Mahtani, and Carlos A. Platero. "Influence of Temperature on Brushless Synchronous Machine Field Winding Interturn Fault Severity Estimation." Applied Sciences 14, no. 17 (2024): 8061. http://dx.doi.org/10.3390/app14178061.

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There are numerous methods for detecting interturn faults (ITFs) in the field winding of synchronous machines (SMs). One effective approach is based on comparing theoretical and measured excitation currents. This method is unaffected by rotor temperature in static excitation SMs. However, this paper investigates the influence of rotor temperature in brushless synchronous machines (BSMs), where rotor temperature significantly impacts the exciter excitation current. Extensive experimental tests were conducted on a special BSM with measurable rotor temperature. Given the challenges of measuring rotor temperature in industrial machines, this paper explores the feasibility of using stator temperature in the exciter field current estimation model. The theoretical exciter field current is calculated using a deep neural network (DNN), which incorporates electrical brushless synchronous generator output values and stator temperature, and it is subsequently compared with the measured exciter field current. This method achieves an error rate below 0.5% under healthy conditions, demonstrating its potential for simple implementation in industrial BSMs for ITF detection.

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He, Shuilong, Xuhong Shen, and Zhansi Jiang. "Detection and Location of Stator Winding Interturn Fault at Different Slots of DFIG." IEEE Access 7 (2019): 89342–53. http://dx.doi.org/10.1109/access.2019.2926538.

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Oliveira, Luís M. R., and A. J. Marques Cardoso. "A Permeance-Based Transformer Model and Its Application to Winding Interturn Arcing Fault Studies." IEEE Transactions on Power Delivery 25, no. 3 (2010): 1589–98. http://dx.doi.org/10.1109/tpwrd.2009.2039149.

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Moon, Seokbae, Hyeyun Jeong, Hojin Lee, and Sang Woo Kim. "Interturn Short Fault Diagnosis in a PMSM by Voltage and Current Residual Analysis With the Faulty Winding Model." IEEE Transactions on Energy Conversion 33, no. 1 (2018): 190–98. http://dx.doi.org/10.1109/tec.2017.2726142.

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Baghgar Bostan Abad, Hassan, Mansour Ojaghi, and Asghar Taheri. "Efficient index for detecting the stator winding interturn fault in six-phase squirrel-cage induction motors." Measurement 184 (November 2021): 109912. http://dx.doi.org/10.1016/j.measurement.2021.109912.

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Gu, Bon-Gwan, Jun-Hyuk Choi, and In-Soung Jung. "Development and Analysis of Interturn Short Fault Model of PMSMs With Series and Parallel Winding Connections." IEEE Transactions on Power Electronics 29, no. 4 (2014): 2016–26. http://dx.doi.org/10.1109/tpel.2013.2265400.

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Rao, M. R., and B. P. Singh. "Detection and localization of interturn fault in the HV winding of a power transformer using wavelets." IEEE Transactions on Dielectrics and Electrical Insulation 8, no. 4 (2001): 652–57. http://dx.doi.org/10.1109/94.946719.

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Quan, Yu Sheng, Zong Cheng Zhang, Guang Chen, and Dai Juan Wang. "Research on Detection Method of Transformer Interturn Short Circuit Based on Wavelet Analysis." Applied Mechanics and Materials 521 (February 2014): 358–61. http://dx.doi.org/10.4028/www.scientific.net/amm.521.358.

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Distribution transformer is an important device in the power supply system, once its failure can cause power outages. According to statistics, 70% -80% of the transformer accident was caused by a short circuit between the transformer turns. Based on the large number of experimental data analysis and processing, a new inter-turn short circuit transformer diagnostic methods is proposed. In this paper, the ground current of transformer core as the signal source, Using wavelet multi-resolution technology the signal wavelet multiscale decomposition, the decomposition of different signals of the same scale, get the high frequency components of the signal, achieve short-circuit fault diagnosis between transformer winding turns by comparing the number of the high-frequency component contained in different signals in the decomposition of the same scale. To illustrate the effectiveness of the method, the paper through a series of experiments and data processing, verify the effectiveness and feasibility of the method.

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Bilal, Habachi, Svetlana Dyagileva, Nicolas Heraud, Eric Jean Roy Sambatra, and Blaise Ravelo. "Stator Winding InterTurn Short-circuit Fault Detection in WRIM Using Rise and Fall Times of Stator Currents." Progress In Electromagnetics Research C 147 (2024): 109–16. http://dx.doi.org/10.2528/pierc24061905.

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Arumugam, Puvan, Tahar Hamiti, and Chris Gerada. "Modeling of Different Winding Configurations for Fault-Tolerant Permanent Magnet Machines to Restrain Interturn Short-Circuit Current." IEEE Transactions on Energy Conversion 27, no. 2 (2012): 351–61. http://dx.doi.org/10.1109/tec.2012.2188138.

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Bhowmick, Shantanav, and Subhasis Nandi. "Online Detection of an Interturn Winding Fault in Single-Phase Distribution Transformers Using a Terminal Measurement-Based Modeling Technique." IEEE Transactions on Power Delivery 30, no. 2 (2015): 1007–15. http://dx.doi.org/10.1109/tpwrd.2014.2347320.

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Oliveira, Luís M. R., and A. J. Marques Cardoso. "Correction to “A Permeance-Based Transformer Model and Its Application to Winding Interturn Arcing Fault Studies” [Jul 10 1589-1598." IEEE Transactions on Power Delivery 26, no. 1 (2011): 486. http://dx.doi.org/10.1109/tpwrd.2010.2098190.

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Liu, Feng, Yansheng Shi, Shuainan Zhang, and Wei Wang. "Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array." Sensors 24, no. 14 (2024): 4450. http://dx.doi.org/10.3390/s24144450.

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The power transformer is one of the most crucial pieces of high-voltage equipment in the power system, and its stable operation is crucial to the reliability of power transmission. Partial discharge (PD) is a key factor leading to the degradation and failure of the insulation performance of power transformers. Therefore, online monitoring of partial discharge can not only obtain real-time information on the operating status of the equipment but also effectively predict the remaining service life of the transformer. Meanwhile, accurate localization of partial discharge sources can assist maintenance personnel in developing more precise and efficient maintenance plans, ensuring the stable operation of the power system. Dual partial discharge sources in transformer oil represent a more complex fault type, and piezoelectric transducers installed outside the transformer oil tank often fail to accurately capture such discharge waveforms. Additionally, the sensitivity of the built-in F-P sensors can decrease when installed deep within the oil tank due to the influence of oil pressure on its sensing diaphragm, resulting in an inability to accurately detect dual partial discharge sources in transformer oil. To address the impact of oil pressure on sensor sensitivity and achieve the detection of dual partial discharge sources under high-voltage conditions in transformers, this paper proposes an optical fiber ultrasonic sensor with a pressure-balancing structure. This sensor can adapt to changes in oil pressure environments inside transformers, has strong electromagnetic interference resistance, and can be installed deep within the oil tank to detect dual partial discharge sources. In this study, a dual PD detection system based on this sensor array is developed, employing a cross-positioning algorithm to achieve detection and localization of dual partial discharge sources in transformer oil. When applied to a 35 kV single-phase transformer for dual partial discharge source detection in different regions, the sensor array exhibits good sensitivity under high oil pressure conditions, enabling the detection and localization of dual partial discharge sources in oil and winding interturn without obstruction. For fault regions with obstructions, such as within the oil channel of the transformer winding, the sensor exhibits the capability to detect the discharge waveform stemming from dual partial discharge sources. Overall, the sensor demonstrates good sensitivity and directional clarity, providing effective detection of dual PD sources generated inside transformers.

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Saavedra, Harold, Julio-César Urresty, Jordi-Roger Riba, and Luís Romeral. "Detection of interturn faults in PMSMs with different winding configurations." Energy Conversion and Management 79 (March 2014): 534–42. http://dx.doi.org/10.1016/j.enconman.2013.12.059.

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Armando Mazzoletti, Manuel, Guillermo R. Bossio, and Cristian Hernan De Angelo. "Interturn short-circuit fault diagnosis in PMSM with partitioned stator windings." IET Electric Power Applications 14, no. 12 (2020): 2301–11. http://dx.doi.org/10.1049/iet-epa.2020.0080.

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Wu, Jian, Yushi Xue, You Shen, Lei Chen, Heng Kang, and Tao Zheng. "Research on magnetic balance differential protection based on single-core phase-shifting transformer." Journal of Physics: Conference Series 2823, no. 1 (2024): 012057. http://dx.doi.org/10.1088/1742-6596/2823/1/012057.

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Abstract As an efficient method for managing power flow, phase-shifting transformers have gained widespread applications in the operation of power systems. The protection of phase-shifting transformers is crucial. This paper focuses on the research of a 35kV single-core symmetric phase shifting transformer in a demonstration project. Utilizing the electromagnetic induction law, the operational characteristics of the transformer are analyzed, and the placement of the protection current transformer is determined to design a magnetic balance differential protection scheme. This scheme effectively covers interphase faults, winding lead faults, and interturn faults in the single-core phase-shifting transformer. Furthermore, a model of the single-core phase-shifting transformer is developed using the MATLAB/Simulink platform to verify the effectiveness of the proposed differential protection configuration scheme by simulating typical faults.

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Romeral, Luís, Julio César Urresty, Jordi-Roger Riba Ruiz, and Antonio Garcia Espinosa. "Modeling of Surface-Mounted Permanent Magnet Synchronous Motors With Stator Winding Interturn Faults." IEEE Transactions on Industrial Electronics 58, no. 5 (2011): 1576–85. http://dx.doi.org/10.1109/tie.2010.2062480.

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Behjat, Vahid, and Abolfazl Vahedi. "An experimental approach for investigating low-level interturn winding faults in power transformers." Electrical Engineering 95, no. 2 (2012): 135–45. http://dx.doi.org/10.1007/s00202-012-0248-4.

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Qian, Hao, Hong Guo, and Xiaofeng Ding. "Modeling and Analysis of Interturn Short Fault in Permanent Magnet Synchronous Motors With Multistrands Windings." IEEE Transactions on Power Electronics 31, no. 3 (2016): 2496–509. http://dx.doi.org/10.1109/tpel.2015.2439574.

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Balla, Makarand Sudhakar, Hiralal Murlidhar Suryawanshi, and Bhupesh Nemichand Choudhari. "Extended Wing Technique Approach for the Detection of Winding Interturn Faults in Three-phase Transformers." Journal of Power Electronics 15, no. 1 (2015): 288–97. http://dx.doi.org/10.6113/jpe.2015.15.1.288.

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42

Yuan, Xing-Hua, Yu-Ling He, Man-Yu Liu, Hui Wang, Shu-Ting Wan, and Gaurang Vakil. "Impact of the Field Winding Interturn Short-Circuit Position on Rotor Vibration Properties in Synchronous Generators." Mathematical Problems in Engineering 2021 (November 30, 2021): 1–11. http://dx.doi.org/10.1155/2021/9236726.

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This paper investigates the effect of the field winding interturn short-circuit (FWISC) position on the rotor vibration properties in turbo generators. Different from the previous studies which focused on the influence of the short-circuit degree, this work pays much attention to the impact of the short-circuit position on the rotor unbalanced magnetic pull (UMP) properties and vibration characteristics. The theoretical UMP model is firstly deduced based on the analysis of the magnetic flux density (MFD) variation. Then, the finite element analysis (FEA) is performed to calculate the UMP data. Finally, the rotor vibrations are tested on a CS-5 prototype generator which has two poles and a rated capacity of 5 kVA. It is shown that the occurrence of FWISC will greatly increase the UMP as well as the rotor vibration. In addition to the short-circuit degree, the short-circuit position will also affect the UMP and vibration. The nearer the short-circuit position is to the big rotor teeth, the larger the UMP and vibration will be. The proposed study in this paper will be beneficial for the monitoring and diagnosis of FWISC faults.

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43

Wu, Fan, Ping Zheng, and Thomas M. Jahns. "Analytical Modeling of Interturn Short Circuit for Multiphase Fault-Tolerant PM Machines With Fractional Slot Concentrated Windings." IEEE Transactions on Industry Applications 53, no. 3 (2017): 1994–2006. http://dx.doi.org/10.1109/tia.2017.2665626.

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Gu, Bon-Gwan. "Study of IPMSM Interturn Faults Part I: Development and Analysis of Models With Series and Parallel Winding Connections." IEEE Transactions on Power Electronics 31, no. 8 (2016): 5931–43. http://dx.doi.org/10.1109/tpel.2015.2496142.

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Yeh, Chia-Chou, Gennadi Y. Sizov, Ahmed Sayed-Ahmed, et al. "A Reconfigurable Motor for Experimental Emulation of Stator Winding Interturn and Broken Bar Faults in Polyphase Induction Machines." IEEE Transactions on Energy Conversion 23, no. 4 (2008): 1005–14. http://dx.doi.org/10.1109/tec.2008.2001443.

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Pietrowski, Wojciech, and Konrad Górny. "Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks." Energies 17, no. 2 (2024): 476. http://dx.doi.org/10.3390/en17020476.

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The objective of the investigation was to increase the effectiveness of damage detection in the stator of the squirrel-cage induction machine. The analysis aimed to enhance the operational trustworthiness of the squirrel-cage induction machine by employing nonintrusive diagnostic methods based on a current signal and modern artificial intelligence methods. The authors of the study introduced a diagnostic technique for identifying multiphase interturn short circuits of stator winding. These short circuits are one of the most common faults in induction machines. The proposed method focusses on deriving a diagnostic signal from the phase-current waveforms of the machine. The noninvasive nature of the diagnostic technique presented is attributed to the application of the field model of electromagnetic phenomena to determine the diagnostic signal. For this purpose, a field model of a squirrel-cage machine was developed. The waveforms of phase currents obtained from the field model were used as input into an elaborated machine failure neural classifier. A deep neural network was used to develop a neural classifier. The effectiveness of the developed classifier has been experimentally verified, and the obtained results have been presented, concluded, and discussed. The scientific novelty presented in the article is the presentation of research results on the use of a neural classifier to detect damage in all phases of the stator winding at an early stage of its appearance. The features of this type of damage are very difficult to observe in signal waveforms such as a phase current or torque.

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Ojaghi, Mansour, and Vahid Bahari. "Rotor Damping Effects in Dynamic Modeling of Three-Phase Synchronous Machines Under the Stator Interturn Faults—Winding Function Approach." IEEE Transactions on Industry Applications 53, no. 3 (2017): 3020–28. http://dx.doi.org/10.1109/tia.2016.2647704.

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Fan, Ying, Chenxue Li, Weixia Zhu, Xiangyang Zhang, Li Zhang, and Ming Cheng. "Stator Winding Interturn Short-Circuit Faults Severity Detection Controlled by OW-SVPWM Without CMV of a Five-Phase FTFSCW-IPM." IEEE Transactions on Industry Applications 53, no. 1 (2017): 194–202. http://dx.doi.org/10.1109/tia.2016.2609848.

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Gubarevych, Oleg. "A COMPREHENSIVE STUDY OF THE INFLUENCE OF DAMAGES OF THE STATOR WINDING OF ASYNCHRONOUS MOTORS DURING OPERATION OF VEHICLES." Collection of Scientific Works of the Ukrainian State University of Railway Transport, no. 202 (December 22, 2022): 99–111. http://dx.doi.org/10.18664/1994-7852.202.2022.273633.

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The efficiency of providing transportation is related to increasing the reliability of the transportation infrastructure. To ensure reliable and economical operation, it is necessary to develop systems of functional diagnostics of the main elements of vehicles, which provide continuous control of the technical condition of its main elements. Monitoring the state of asynchronous electric motors as part of electric drives of vehicles is an important modern issue, the solution of which depends on the reliability of the entire transport infrastructure. The most common type of damage in motors during operation is an inter-turn short circuit in the stator winding phase. Turn-to-turn closures are difficult to detect, but if they are present, the engine continues to operate with a change in its operating and electrodynamic indicators and characteristics. However, depending on the degree of turn-to-turn closures (the number of closed turns) in the winding phase, the probability and time of an emergency stop of the electric drive increase. In this paper, the influence of turn-to-turn closures of varying degrees on mechanical, electrical and energy parameters and engine characteristics under various operating modes has been studied. In the course of the research, a mathematical model of an induction motor was used with the established adequacy of the simulation results and the possibility of creating an asymmetric rotating stator field. The adopted simulation model of an induction motor with a squirrel-cage rotor is written in retarded coordinates. Also, studies were carried out on the effect of turn-to-turn closures on the ripple coefficient of the electromagnetic torque and the unbalance coefficient of the stator phase currents. Based on the data obtained, recommendations are given on choosing the most effective method of electric current for diagnosing interturn faults in assessing the technical condition and predicting the failure-free operation of an asynchronous electric motor for use as part of an electric motor under construction. - in diagnostic systems of cars.

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Fei, Liangchang, Zhiqin Ma, Linglong Cai, et al. "Analysis of interturn short circuit in regulating winding of power transformer based on field-circuit coupling." Frontiers in Energy Research 12 (June 26, 2024). http://dx.doi.org/10.3389/fenrg.2024.1393436.

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The interturn short circuit fault is one of the common faults in power transformers. At present, research on interturn short circuit faults focuses on high, medium, and low voltage windings, while there is relatively little research on interturn short circuit in regulating windings. Specifically, there is a lack of reported studies on the transient electromagnetic processes, magnetic field distribution, and electromagnetic force characteristics of interturn short circuits in regulating windings unconnected to the circuit. This study presents an actual fault scenario involving interturn short circuits occurring in the untapped portion of the regulating windings of a specific power transformer. A field-circuit coupled model was established to analyze the transient electromagnetic processes during the fault, and the model’s effectiveness was validated by comparing its results with actual fault recording data. Additionally, the magnetic field distribution and electromagnetic force characteristics during the fault were analyzed, and discussions were carried out regarding various ratios of short-circuit turns in the regulating windings. The results indicate that even when an interturn short circuit occurs in the portion of the regulating winding that is not connected to the circuit, the current in the short-circuited turns can reach several tens of times the rated value. Additionally, the leakage magnetic field and the electromagnetic force experienced by the short-circuited ring also increase significantly. The short-circuit ratio has a significant impact on the current of the short-circuited ring, leakage magnetic field intensity, and electromagnetic force. This study contributes to a better understanding of the impact of interturn short-circuit faults in the untapped portion of the regulating windings, offering crucial technical support for fault diagnosis and prevention of power transformers.

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Journal articles on the topic 'Winding InterTurn fault'

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