Статті в журналах: "Short Circuit turn to turn"

1

Aubert, Brice, Jérémi Régnier, Stéphane Caux, and Dominique Alejo. "Stator Winding Fault Diagnosis in Permanent Magnet Synchronous Generators Based on Short-Circuited Turns Identification Using Extended Kalman Filter." ACTA IMEKO 3, no. 4 (December 1, 2014): 4. http://dx.doi.org/10.21014/acta_imeko.v3i4.146.

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<p class="Abstract">This paper deals with an Extended Kalman Filter based fault detection for inter-turn short-circuit in Permanent Magnet Synchronous Generators. Inter-turn short-circuits are among the most critical faults in the PMSG. Indeed, due to permanent magnets, the short-circuit current is maintained as long as the machine is rotating. Thus, a specific faulty model in d-q frame is developed to estimate the number of short-circuited turns which are used to build a fault indicator. Simulation results demonstrate the sensitivity and the robustness of the proposed fault indicator against various operation points on an electrical network even for a few number of short-circuited turns.</p>

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2

Nacera, Yassa, Houassine Hamza, Ouadfel Ghania, and Rachek Mhemed. "Multi-Turn Modeling of a Power Transformer under an Inter-Turn Short-Circuit Fault." European Journal of Electrical Engineering 24, no. 2 (April 30, 2022): 89–96. http://dx.doi.org/10.18280/ejee.240203.

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This paper presents a new method for modeling the steady-state behavior of the currents transmitted between the windings of a transformer subjected to an inter-turn short-circuit fault (ITSC). ITSC is one of the most frequent and most damaging faults in magnetically coupled circuits, which occur in power transformers. Coupled Electromagnetic Circuit (CEMC) Model modeling the reasoning and relationships describing the operating principle of a power transformer through the electrical and magnetic parameters defined by the self and mutual inductances that influence the voltages and currents transmitted between the transformer windings. The representation of the state variable equations of a proposed model of a three-phase multi-turn transformer in healthy mode (no fault) and in degraded mode (with inter-turn short-circuit faults of 10%, 20% and 30%) has been implemented using a program inserted in MATLAB software. The simulations illustrate the evaluation of the primary and secondary currents as well as the voltage drop across a load, and the accuracy of the state model based on the coupled circuits was validated. The results obtained can provide a basis for the design of the short circuit of the multi-turn transformer.

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3

Arumugam, Puvan, Tahar Hamiti, and Chris Gerada. "Turn–turn short circuit fault management in permanent magnet machines." IET Electric Power Applications 9, no. 9 (November 2015): 634–41. http://dx.doi.org/10.1049/iet-epa.2015.0020.

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4

Quan, Yu Sheng, Zong Cheng Zhang, Guang Chen, and Dai Juan Wang. "Study on Method Detecting Turn-to-Turn Short Circuit of Transformer Based on Kalman Filter." Applied Mechanics and Materials 521 (February 2014): 371–74. http://dx.doi.org/10.4028/www.scientific.net/amm.521.371.

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Distribution transformer is an important device in the power 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. In this paper, the ground current of transformer core as the signal source, using Kalman filter techniques to approximate the measured signal, obtained state transition parameters of the prediction signal that most approximate the signal measured , Generated the inter-turn short circuit fault diagnostic parameters, based on the range of parameters to achieve the transformer inter-turn short circuits fault diagnosis. To verify this method, this paper design experiment, the results prove the validity and feasibility of the methods for fault diagnosis.

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5

Quan, Yu Sheng, Xin Zhao, Guang Chen, and En Ze Zhou. "Study on Methodology Detecting Turn-to-Turn Short Circuit of Transformer." Advanced Materials Research 805-806 (September 2013): 876–79. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.876.

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A novel method for detecting turn-to-turn short circuit is proposed in this paper. This detection makes the transient voltage and current applied in the transformer port as the information source. The transformer model is structured according to its low-frequency characteristics. By comparison the extreme value of the criterion function proposed in this paper, the transformer turn-to-turn short circuit fault can be detected. Based on good results in the simulation, the methodology is proved effective and practical.

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6

Pietrowski, Wojciech, and Konrad Górny. "Analysis of Torque Ripples of an Induction Motor Taking into Account a Inter-Turn Short-Circuit in a Stator Winding." Energies 13, no. 14 (July 14, 2020): 3626. http://dx.doi.org/10.3390/en13143626.

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Despite the increasing popularity of permanent magnet synchronous machines, induction motors (IM) are still the most frequently used electrical machines in commercial applications. Ensuring a failure-free operation of IM motivates research aimed at the development of effective methods of monitoring and diagnostic of electrical machines. The presented paper deals with diagnostics of an IM with failure of an inter-turn short-circuit in a stator winding. As this type of failure commonly does not lead immediately to exclusion of a drive system, an early stage diagnosis of inter-turn short-circuit enables preventive maintenance and reduce the costs of a whole drive system failure. In the proposed approach, the early diagnostics of IM with the inter-turn short-circuit is based on the analysis of an electromagnetic torque waveform. The research is based on an elaborated numerical field–circuit model of IM. In the presented model, the inter-turn short-circuit in the selected winding has been accounted for. As the short-circuit between the turns can occur in different locations in coils of winding, computations were carried out for various quantity of shorted turns in the winding. The performed analysis of impact of inter-turn short-circuit on torque waveforms allowed to find the correlation between the quantity of shorted turns and torque ripple level. This correlation can be used as input into the first layer of an artificial neural network in early and noninvasive diagnostics of drive systems.

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7

Wu, Yucai, and Guanhua Ma. "Anti-Interference and Location Performance for Turn-to-Turn Short Circuit Detection in Turbo-Generator Rotor Windings." Energies 12, no. 7 (April 10, 2019): 1378. http://dx.doi.org/10.3390/en12071378.

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Online and location detection of rotor winding inter-turn short circuits are an important direction in the field of fault diagnosis in turbo-generators. This area is facing many difficulties and challenges. This study is based on the principles associated with the U-shaped detection coil method. Compared with dynamic eccentricity faults, the characteristics of the variations in the main magnetic field after a turn-to-turn short circuit in rotor windings were analyzed and the unique characteristics were extracted. We propose that the degree of a turn-to-turn short circuit can be judged by the difference in the induction voltage of the double U-shaped detection coils mounted on the stator core. Here, the faulty slot position was determined by the local convex point formed by the difference in the induced voltage. Numerical simulation was used here to determine the induced voltage characteristics in the double U-shaped coils caused by the turn-to-turn short circuit fault. We analyzed the dynamic eccentricity fault as well as combined the fault of a turn-to-turn short circuit and dynamic eccentricity. Finally, we demonstrate the positive anti-interference performance associated with this fault detection method. This new online detection method is satisfactory in terms of sensitivity, speed, and positioning, and overall performance is superior to the traditional online detection methods.

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8

Nedelchev, Nedelcho, and Misho Matsankov. "Increasing the Sensitivity of the Digital Relay Protection Against Turn-to-turn Short Circuits And Asymmetries In Wind Power Generators." E3S Web of Conferences 186 (2020): 03001. http://dx.doi.org/10.1051/e3sconf/202018603001.

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The paper describes the implementation of neural networks for increasing the sensitivity of the digital relay protection against turn-to turn short circuits in the stator winding and asymmetric modes in wind power generators. Models have been developed for monitoring two standard and two emergency mode parameters, whose deviation from the set-points is an indication of occurrence of turn-to-turn short circuits and asymmetric modes, or of combinations of these types of failures. An artificial neural network, trained by error back-propagation algorithm has been used. An experiment has been conducted to define the four criteria for studying the problem at different percentage of the short-circuit turns. A comparison between the results from both the experiment and the modeling has been made using artificial neural networks. The proposed approach, realized by means of a digital relay, allows for increasing the sensitivity of the digital relay protection against turn-to-turn short circuits and asymmetric modes for wind power generators.

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9

AFANAS’YEV, Alexander A. "Equations of a magnetoelectric valve motor for loop closures of the stator winding." Elektrichestvo 11, no. 11 (2020): 47–52. http://dx.doi.org/10.24160/0013-5380-2020-11-47-52.

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The article considers the differential equations of a switched permanent magnet motor in which a short-circuit fault occurred in one or more turns in one of parallel stator winding branches. Owing to the occurred asymmetry of the phase quantities, symmetrical line-to-line voltages at the stator winding terminals are assumed. It is shown that turn-to-turn short-circuit faults give rise to non-sinusoidal and imbalanced phase currents and voltages at the nominal load torque on the shaft, and it should be noted that initially, a growth of the frequency and ratios of currents in the phases with an increase in the number of short-circuited turns are observed, after which the phase currents tend to decrease (with a continuing growth in the current through the short-circuited loop), and the rotor stalling occurs. The growth of motor rotation frequency and decrease of its overloading capacity take place due to a growth in the demagnetizing effect of armature reaction caused by the current through the short-circuited stator winding turns.

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10

Polishchuk, V. I., E. O. Kuleshova, and Yu Z. Vasilyeva. "Turn-to-Turn Short Circuit Diagnostic Improvement Method Based on ANN for Synchronous Generator Excitation Winding." Applied Mechanics and Materials 792 (September 2015): 51–55. http://dx.doi.org/10.4028/www.scientific.net/amm.792.51.

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The paper describes the determination method of quasi-reactive power for synchronous generator turn-to-turn short circuit diagnostics. A proposed method allows to determine the relation between the exciting current and quasi-reactive power at the generator leading to a high probability. This relation is the basis of the determination method of turn-to-turn short circuit availability and its severity.

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11

Zhang, Yucheng, and Zenghuan Sun. "Analysis and location of Turn-To-Turn short circuit of rotor windings in generator." E3S Web of Conferences 233 (2021): 04018. http://dx.doi.org/10.1051/e3sconf/202123304018.

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With the increase of generator running time, the probability of generator rotor problems increases constantly. In this paper, a generator is taken as an example. During maintenance, the generator is found to have the evidence of turn-to-turn short circuit of rotor windings by the repetitive surge oscilloscope method, which is verified by the AC impedance power loss test of the rotor winding. The position of turn-to-turn short circuit is determined by the inter-pole voltage method and the coil voltage method. The accuracy of the test method is further verified by the generator rotor’s return repair.

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12

Zhezhelenko, I. V., V. E. Kryvonosov, and S. V. Vasilenko. "Criteria for Detecting Turn-To-Turn Short Circuit in Stator Windings Using Vector Analysis of Electric Motor Phase Currents." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 64, no. 3 (June 4, 2021): 202–18. http://dx.doi.org/10.21122/1029-7448-2021-64-3-202-218.

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At industrial enterprises, seaports, ships, more than 80 % of all electrical engineering equipment is asynchronous motors. In a number of cases, asynchronous motors operate with a sharply variable load, in an aggressive environment; herewith they receive power from the network with deviations of the power quality indicators from the normative ones, which causes their high damageability. Turn circuits in the stator windings account for about 40 % of cases of damage to the insulation of the asynchronous motors windings. Untimely detection of the initial moment of the appearance of defects in the asynchronous motors or disruption of the operating modes of the supply network and current circuits result in emergency situations of the electrical complex, equipment downtime and damage. The article discusses the issues of diagnostics of non-full-phase modes of current circuits, mains voltages and turn circuits in the stator windings of the asynchronous motors that receiving power from the networks in conditions of voltage asymmetry. The analysis of the vector diagrams of currents, voltages and additional phase angles of the phase currents displacement arising from the asymmetry of the mains voltages and turn circuits in the stator windings has been fulfilled. The results obtained made it possible to formulate criteria for identifying the initial moment of the turn circuit and two-phase modes, both in the network and in current circuits, in stationary modes. A method for non-destructive testing of the asynchronous motors state as well as a device for its implementation has been developed. The method is based on comparing the vectors of the measured phase currents of the asynchronous motors with their calculated values. The article presents the results of modeling the change in the vectors of phase currents from the number of closed turns in the winding of the asynchronous motors. The power series of asynchronous motors was established, for which the sensitivity of detecting the initial moment of the turn-to-turn short circuit is maximum. Analytical results of the dependence of the sensitivity coefficient for turn-to-turn short circuit on the absolute increment of the modules of phase currents and the corresponding phase angles have been obtained.

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13

Yang, Cunxiang, Yiwei Ding, Hongbo Qiu, and Bin Xiong. "Analysis of Turn-to-Turn Fault on Split-Winding Transformer Using Coupled Field-Circuit Approach." Processes 9, no. 8 (July 29, 2021): 1314. http://dx.doi.org/10.3390/pr9081314.

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The turn-to-turn faults (TTF) are also inevitable in split-winding transformers. The distorted leakage field generated by the TTF current results in large axial forces and end thrusts in the fault windings as well as affecting other branch windings normal operation, so it is of significance to study TTF of split-winding transformers. In this paper, the characteristics analysis of the split-winding transformer under the TTFs of the low voltage winding at different positions are presented. A 3600 KVA four split-windings transformer is taken as an example. Then, a simplified three-dimensional simplified model is established, taking into account the forces of the per-turn coil. The nonlinear-transient field-circuit coupled finite element method is used for the model. The leakage field distribution under the TTFs of the low voltage winding at different positions is studied. The resultant force of the short-circuit winding and the force of the per-turn coil are obtained. Subsequently, the force and current relationship between the branch windings are analyzed. The results show that the TTF at the specific location has a great influence on the axial windings on the same core, and the distorted leakage magnetic field will cause excessive axial force and end thrust of the normal and short-circuit windings. These results can provide a basis for the short-circuit design of split-winding transformer.

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14

Chen, Xinglong, Peng Qin, Yongyi Chen, Jianjian Zhao, Wenhao Li, Yao Mao, and Tao Zhao. "Inter-Turn Short Circuit Fault Diagnosis of PMSM." Electronics 11, no. 10 (May 14, 2022): 1576. http://dx.doi.org/10.3390/electronics11101576.

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Permanent Magnet Synchronous Motor (PMSM) is widely used due to its advantages of high power density, high efficiency and so on. In order to ensure the reliability of a PMSM system, it is extremely vital to accurately diagnose the incipient faults. In this paper, a variety of optimization algorithms are utilized to realize the diagnosis of the faulty position and severity of the inter-turn short-circuit (ITSC) fault, which is one of the most destructive and frequent faults in PMSM. Compared with the existing research results gained by particle swarm optimization algorithms, in this paper, the methods using other optimization algorithms incorporating genetic algorithm, whale optimization algorithm and stochastic parallel gradient descent algorithm (SPGD) can acquire more stable and precise results. In particular, the method based on SPGD can obtain the most desirable performance among the methods mentioned above; that is, the relative error of short-circuit turns ratio is approximately as low as 0.03%. In addition, in the case of asymmetric input three-phase voltage and with the adverse impact of high-order harmonics at different load moments, the fault diagnosis method based on SPGD still maintains relatively satisfactory properties. Finally, the verification on the actual PMSM platform demonstrates that the SPGD can still diagnose the faulty severity.

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15

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 (January 3, 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 winding has been taken into account in the elaborated field-circuit model of machine. One of the time-varying short-circuit symptoms is a time-varying resistance of shorted circuit and consequently the waveform of phase current. A general regression neural network (GRNN) has been elaborated to find a number of shorted turns on the basis of fast Fourier transform (FFT) of phase current. The input vector of GRNN has been built on the basis of the FFT of phase current waveform. The output vector has been built upon the values of resistance of shorted circuit for respective values of shorted turns. The performance of the GRNN was compared with that of the multilayer perceptron neural network. Findings The GRNN can contribute to better detection of the time-varying inter-turn short-circuit in stator winding than the multilayer perceptron neural network. Originality/value It is argued that the proposed method based on FFT of phase current and GRNN is capable to detect a time-varying inter-turn short-circuit. The GRNN can be used in a health monitoring system as an inference module.

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16

Lavrenov, E. O., M. E. Vilberger, Z. S. Temlyakova, P. V. Morozov, and A. A. Temlyakov. "Simulation of a Turn-to-Turn Short Circuit in an Induction-Motor Rotor Winding." Russian Electrical Engineering 93, no. 5 (May 2022): 326–30. http://dx.doi.org/10.3103/s1068371222050078.

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17

Dai, Feng, Baoxin Hao, Hongzhong Ma, Fenglei Tan, Chao Zhu, Pengfei Hou, and Shuai Zhao. "On-line Monitoring and Analysis of Turn-to-Turn Short Circuit Fault of Reactor." Journal of Physics: Conference Series 1345 (November 2019): 032070. http://dx.doi.org/10.1088/1742-6596/1345/3/032070.

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18

Devadiga, Anurag A., Noureddine Harid, Huw Griffiths, Naji Al Sayari, Braham Barkat, Sheshakamal Jayaram, Hisatoshi Ikeda, Tadashi Koshizuka, and Yasuhiko Taniguchi. "Winding turn-to-turn short-circuit diagnosis using FRA method: sensitivity of measurement configuration." IET Science, Measurement & Technology 13, no. 1 (January 1, 2019): 17–24. http://dx.doi.org/10.1049/iet-smt.2018.5331.

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19

Yasid, Nurul Farahwahida Md, A. A. Alawady, M. F. M. Yousof, S. Al-Ameri, and M. S. Kamarudin. "Interpretation of sweep frequency response analysis traces on inter-turn short circuit fault." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (March 1, 2020): 309. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp309-316.

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Sweep frequency response analysis (SFRA) is a reliable method for detection and diagnosis of faults in the active part of transformers. However, although SFRA is widely employed, the interpretation of SFRA signature is still a challenge and require experts to analyse them. This is due to lack of guideline and standard for SFRA signature interpretation and clarification. This paper presents the interpretation of SFRA signature by classification and quantification on inter-turn short circuit fault on the transformer winding. The short-circuited turns fault on HV winding phase “A” was practically simulated on three different units of three-phase transformers. The results of simulated fault are presented and discussed. A conclusion was drawn which provides the interpretation of the SFRA response due to inter-turn short circuit fault case by using a statistical indicator which is NCEPRI algorithm.

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20

Díaz González, Guzmán, Javier Gómez‐Aleixandre Fernández, and Pablo Arboleya Arboleya. "Electromagnetic model of turn‐to‐turn short circuits in transformers." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 23, no. 2 (June 2004): 558–71. http://dx.doi.org/10.1108/03321640410510749.

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21

Lavrenov, Evgeniy, Zoya Temlyakova, and Аnton Temlyakov. "Estimation of the turn-to-turn short circuit effect on the induction motor operation quality." Proceedings of the Russian higher school Academy of sciences, no. 1 (March 20, 2019): 62–72. http://dx.doi.org/10.17212/1727-2769-2019-1-62-72.

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22

LAVRENOV, E. O., M. E. VILBERGER, Z. S. TEMLYAKOVA, P. V. MOROZOV, and A. A. TEMLYAKOV. "Simulation of turn-to-turn short circuit in the rotor winding of an induction motor." Elektrotekhnika, no. 5 (2022): 46–50. http://dx.doi.org/10.53891/00135860_2022_5_46.

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23

Qin, Jian, Yanjun Peng, Lu Wang, Ningbo Pan, Jianxi Chen, Yongqiang Huang, and Wei Jiang. "Insulation failure evaluation of SF6 circuit breaker relay coil based on high-frequency equivalent model." Journal of Physics: Conference Series 2260, no. 1 (April 1, 2022): 012043. http://dx.doi.org/10.1088/1742-6596/2260/1/012043.

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Abstract In order to evaluate the insulation failure of SF6 circuit breaker relay coil, the finite element model of the relay coil was established, and the capacitance inductance matrix was calculated by simulation calculation, and the high-frequency equivalent circuit model of the coil was established. Inject low-voltage square wave pulse signal at the input end of the circuit, and the response curve is detected at the end of the circuit, and the characteristic curve is obtained by combining the response curve under the condition of inter-turn short circuit fault and no fault. The wavelet packet - energy spectrum analysis shows that the energy proportion of each frequency band of the characteristic curve changes when the short-circuit position between turns is different. Taking energy spectrum as input and combining with extreme learning machine to locate inter-turn short circuit fault, the simulation sample analysis shows that the correct rate of fault location is 93.3%.

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24

Kulkarni, Sandhya, and Dr Archana Thosar. "Performance Analysis of Permanent Magnet Synchronous Machine due to Winding Failures." International Journal of Electrical and Electronics Research 9, no. 3 (September 30, 2021): 76–83. http://dx.doi.org/10.37391/ijeer.0903081.

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The paper describes winding failures in Permanent Magnet Synchronous Motor (PMSM) which are preferred in Electric Vehicles. Drive can be designed with fault tolerance to continue to operate under occurrence of faults. Winding insulation failure is responsible for some of the most serious faults. A method for detecting open circuit of winding, short circuit of winding or turn to turn short circuit in winding may result as a failure of winding insulation is presented. Further a technique for continued post-fault operation of the drive is discussed based upon mathematical model. The detection method operates in real time without the use of additional sensors and is sensitive enough to detect the presence of an air-gap between turns.

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25

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 circuit fault feature is proposed , which provided a basis for detection of stator winding inter-turn short circuit fault in PMLSM.

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26

CHOUROUK, BOUCHAREB, NAIT-SAID MOHAMED-SAID, and LAHMER FETHI. "Modeling and Diagnostic of Permanent Magnet Synchronous Machine under Insulation Failure Condition." Algerian Journal of Signals and Systems 2, no. 2 (February 2, 2021): 86–95. http://dx.doi.org/10.51485/ajss.v2i2.35.

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One of the most frequent faults in PMSM stator is the turn-to-turn short-circuit fault. So, the aim of this paper is to present a dynamic model for PMSM with turn-to-turn short-circuit fault based on equivalent electric circuit model. Two simple and useful diagnostic techniques ESA an EPVA based on frequency analysis are applied to detect this kind of fault. The accuracy of diagnosis is based on adding the real waveform of back-EMF.

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27

Zitouni, M. "Improvement of power transformer differential protection through detection and exploitation of the negative sequence currents." Electrical Engineering & Electromechanics, no. 1 (February 17, 2022): 12–20. http://dx.doi.org/10.20998/2074-272x.2022.1.02.

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Introduction. Power transformers are the most important and the most expensive equipment used in transport and distribution of electrical energy. Their failure results in huge economic losses. Despite the great advances in the design of power equipment in recent years, the feeble link in the chain remains the insulation weakness of coil turns of the power transformer. The novelty of the proposed research consists in the development of a new procedure for diagnosing and localizing the occurrence of turn to turn short-circuits in the windings of three-phase power transformer. The main problems of the current differential relay are short circuits of one or more turns of a transformer winding. Hence a new approach using' the amplitude comparison between the negative sequence currents' is developed and a digital discriminator internal / external fault is applied to discriminate turn to turn faults among the other ones. The proposed procedure is based on the exploitation of the negative sequence currents. The purpose of using this new procedure is to identify small faults inside power transformer coils and to distinguish inner faults from the outer faults by using an ameliorate circuit. The method used in this paper is a novel algorithm which based on the comparison between the negative sequence current amplitudes and to calculate the corresponding phase angle shifts. The performance of the proposed procedure has been confirmed by MATLAB/Simulink environment. The results of simulation reveal the efficiency of the suggested procedure, and indicate that this procedure can provide fast and sensitive approach for detecting low level turn-to-turn faults.

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28

Tomczyk, Marcin, Ryszard Mielnik, Anna Plichta, Iwona Gołdasz, and Maciej Sułowicz. "Application of Genetic Algorithm for Inter-Turn Short Circuit Detection in Stator Winding of Induction Motor." Energies 14, no. 24 (December 17, 2021): 8523. http://dx.doi.org/10.3390/en14248523.

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This paper presents a new method of inter-turn short-circuit detection in cage induction motors. The method is based on experimental data recorded during load changes. Measured signals were analyzed using a genetic algorithm. This algorithm was next used in the diagnostics procedure. The correctness of fault detection was verified during experimental tests for various configurations of inter-turn short-circuits. The tests were run for several relevant diagnostic signals that contain symptoms of faults in an examined cage induction motor. The proposed algorithm of inter-turn short-circuit detection for various levels of winding damage and for various loads of the examined motor allows one to state the usefulness of this diagnostic method in normal industry conditions of motor exploitation.

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29

Xiao, Hai Yan, Xue Wu Wang, and Deng Feng Chen. "Fault Diagnose of Rotor Winding Inter Turn Short Circuit in Generator." Applied Mechanics and Materials 321-324 (June 2013): 1290–94. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1290.

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Based on magnetic characteristics of inter turn circuit of rotor windings in turbo generator, and analysis the principles of detecting coil method. Based on the symmetry of generator structure and magnetic character between stator and rotor, three fault diagnose methods are presented in this paper: Wave form limitations, Half-wave sliding superposition and Reference wave forms. The application example shows that Reference wave forms method is capable of diagnosing inter turn fault, its severity, and especially locating the inter turn short circuit fault.

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30

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 simulation results,especially about short circuit current.

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31

MA, H. Z., and L. PU. "Fault Diagnosis Based on ANN for Turn-to-Turn Short Circuit of Synchronous Generator Rotor Windings." Journal of Electromagnetic Analysis and Applications 01, no. 03 (2009): 187–91. http://dx.doi.org/10.4236/jemaa.2009.13028.

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32

Jelassi, S., R. Romary, and J. F. Brudny. "Inter‐turn short‐circuit effect on induction machine iron losses." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 29, no. 4 (July 13, 2010): 1070–80. http://dx.doi.org/10.1108/03321641011044488.

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33

Babaa, Fatima, and Ouafae Bennis. "An accurate inter-turn short circuit faults model dedicated to induction motors." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 9. http://dx.doi.org/10.11591/ijece.v11i1.pp9-16.

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Safety, disponibility and continuity of industrial systems are major issue in maintenance. In the last decades, these points are the important axes in the field of research. In fact, in many industrial processes research has picked up a fervent place and a particular importance in the area of fault diagnosis of electrical machines, in fact, a fault prognosis has become almost indispensable. The need of a mathematical model of three-phase induction machine, suitable for the simulation of machines behaviour under fault conditions, has received considerable attention. The paper presents a new practical and more precise model for induction motors after introducing inter turn short circuits faults. The proposed model is based on coupled magnetic circuit theory, capable to take into account any electrical asymmetry conditions. To verify the exactitude and the effectiveness of the model, simulation results for induction machine under interturn short circuit fault are presented. In spite of its simplicity, the proposed model is able to provide useful indications for diagnostic purposes. Experimental study is presented at the end of the paper to show that the proposed model predicts the induction machine behavior with a good accuracy.

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

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Observer-based fault diagnosis and field oriented fault tolerant control of induction motor with stator inter-turn fault This paper describes a fault-tolerant controller (FTC) of induction motor (IM) with inter-turn short circuit in stator phase winding. The fault-tolerant controller is based on the indirect rotor field oriented control (IRFOC) and an observer to estimate the motor states, the amount of turns involved in short circuit and the current in the short circuit. The proposed fault controller switches between the control of the two components of measured stator current in the synchronously rotating reference frame and the control of the two components of estimated current in the case of faulty condition when the estimated current in the short circuit is not destructive of motor winding. This technique is used to eliminate the speed and the rotor flux harmonics and to assure the decoupling between the rotor flux and torque controls. The results of the simulation for controlling the speed and rotor flux of the IM demonstrate the applicability of the proposed FTC.

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Adouni, Amel, and Antonio J. Marques Cardoso. "Thermal Analysis of Low-Power Three-Phase Induction Motors Operating under Voltage Unbalance and Inter-Turn Short Circuit Faults." Machines 9, no. 1 (December 26, 2020): 2. http://dx.doi.org/10.3390/machines9010002.

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Three-phase induction motors are considered to be the workhorse of industry. Therefore, induction motor faults are not only the cause of users’ frustrations but they also drive up the costs related to unexpected breakdowns, repair actions, and safety issues. One of the most critical faults in three-phase induction motors is related to the occurrence of inter-turn short circuits, due to its devastating consequences. The topic of inter-turn short-circuit faults in three-phase induction motors has been discussed over recent decades by several researchers. These studies have mainly dealt with early fault detection to avoid dramatic consequences. However, they fall short of addressing the potential burnout of the induction motor before the detection step. Furthermore, the cumulative action played by an inevitable degree of unbalanced supply voltages may exacerbate such consequences. For that reason, in deep detail, this paper delves into the thermal analysis of the induction motor when operating under these two harsh conditions: unbalanced supply voltages and the presence of the most incipient type of inter-turn short-circuit condition—a short-circuit between two turns only. In this work, the finite element method has been applied to create the faulty scenarios, and a commercial software (Flux2D) has been used in order to simulate the electromagnetic and thermal behavior of the machine for various degrees of severity of the aforementioned faulty modes. The obtained results confirm that the diagnostic tools reported in the literature might not be effective, failing to warrant the required lead time so that suitable actions can be taken to prevent permanent damage to the machine.

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36

Shi, Yanwen, Jiabin Wang, and Bo Wang. "Electromagnetic-Thermal-Coupled Fault Analysis of PMASynRM With Turn-to-Turn Short-Circuit Involving a Few Strands." IEEE Transactions on Industry Applications 58, no. 1 (January 2022): 294–303. http://dx.doi.org/10.1109/tia.2021.3127856.

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37

HOCINE, Amina, Noureddine GAZZAM, and Atallah BENALIA. "Diagnosis of Fault in Doubly-Fed Three-Phase Induction Generator in Wind Power Applications." Electrotehnica, Electronica, Automatica 69, no. 1 (February 15, 2021): 44–50. http://dx.doi.org/10.46904/eea.21.69.1.1108006.

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Inter-turn short-circuits faults are one of the most common problems in Induction machines, especially in the Doubly-Fed Induction Generator Based-Wind Energy Conversion system. Accurate and fast fault diagnosis and detection minimize the down-time of the units as further damages can be prevented. In this paper, a robust fault detection approach for Doubly-Fed Induction Generator (DFIG) based on wind generators is proposed. The faults’ smart diagnosis and detection are based on the Sliding Mode Observer and Second Order Sliding Mode Control. The observer generates a residual for detection of stator Inter-Turn Short Circuit faults which can affect a system model. A decision system is used to process the residual vector to detect faults. In order to shed more light on the designed approach performances regarding the inter-turn short-circuit fault occurrence, simulations were implemented in MATLAB/Simulink environment.

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38

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 (April 1, 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 asynchronous motor during the inter-turn short circuit in one phase of the stator, pulsations of the torque on the motor shaft were studied for different values of the AC impedance and resistance of one of the stator winding phases, which corresponds to varying degrees of the inter-turn short circuits.

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39

Li, Junqing, and Luo Wang. "Calculation and Analysis of Rotor Thermal Static Field for Inter-Turn Short Circuit of Large Hydro-Generator Excitation Winding." Energies 12, no. 7 (April 1, 2019): 1252. http://dx.doi.org/10.3390/en12071252.

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Rotor winding inter-turn short circuit a common fault in hydro-generators. This fault would change the temperature, stress, and other thermal fields of a rotor and threaten the safe operation of the generator. In this paper, the Three Gorges hydro-generator is taken as an example. Mathematical models of three-dimensional temperature field and thermal stress field of rotor magnetic poles are established based on heat transfer theory and solved by finite element method. The temperature field, thermal deformation, and thermal stress distribution of magnetic poles in rotor winding inter-turn short circuit are calculated. On the basis of the calculation, the effects of the different turn numbers and positions of short circuit on the temperature, thermal deformation, and thermal stress of rotor magnetic poles are further studied. It is concluded that the thermal stress of the winding adjacent to the shorted turn would decrease, the thermal stress of the winding farther away from the shorted winding would increase, and so on. The results of this paper can provide references for inter-turn short circuit fault diagnosis and lay a foundation for the further studies of related faults.

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40

Quan, Yu Sheng, Ning Chen, Zi Jian Wang, and Pu Xin Shi. "The New Methodology of Diagnosis for Transformer Inter-Turn Short Circuit Based on Wavelet Analysis." Applied Mechanics and Materials 672-674 (October 2014): 1155–58. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1155.

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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, take the grounding current of transformer core as the signal source. Using wavelet multi-resolution technology the signal wavelet multiscale decomposition, we can get 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.

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41

Li, Yong Gang, Guo Wei Zhou, Yu Ca Wu, and He Ming Li. "Impact of Rotor Inter-Turn Short-Circuit on Generator Rotor Force." Applied Mechanics and Materials 143-144 (December 2011): 125–31. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.125.

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This paper analyzes the calculation method of unbalanced electromagnetic force by rotor winding inter-turn short-circuit fault, analytical calculating method neglects saturation, cogging and other factors, so the calculation accuracy is not high, in order to accurately calculate the magnetic field and the unbalanced electromagnetic force, this paper propose to analyze generator magnetic field by a finite element software Ansys, the obtained magnetic field data are further used to analyze the distributed electromagnetic force and the total force that generator rotor suffered, electromagnetic force distribution law of different slots, different levels of inter-turn short-circuit are got, which provide a basis for further studying the full force on generator rotor.

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42

Pietrowski, Wojciech, and Konrad Górny. "Detection of inter-turn short-circuit at start-up of induction machine based on torque analysis." Open Physics 15, no. 1 (December 29, 2017): 851–56. http://dx.doi.org/10.1515/phys-2017-0101.

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AbstractRecently, interest in new diagnostics methods in a field of induction machines was observed. Research presented in the paper shows the diagnostics of induction machine based on torque pulsation, under inter-turn short-circuit, during start-up of a machine. In the paper three numerical techniques were used: finite element analysis, signal analysis and artificial neural networks (ANN). The elaborated numerical model of faulty machine consists of field, circuit and motion equations. Voltage excited supply allowed to determine the torque waveform during start-up. The inter-turn short-circuit was treated as a galvanic connection between two points of the stator winding. The waveforms were calculated for different amounts of shorted-turns from 0 to 55. Due to the non-stationary waveforms a wavelet packet decomposition was used to perform an analysis of the torque. The obtained results of analysis were used as input vector for ANN. The response of the neural network was the number of shorted-turns in the stator winding. Special attention was paid to compare response of general regression neural network (GRNN) and multi-layer perceptron neural network (MLP). Based on the results of the research, the efficiency of the developed algorithm can be inferred.

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43

Hu, Hongqian, Weifeng Shi, and Benjamin Venditti. "Research on modeling and fault diagnosis of inter-turn short fault of permanent magnet synchronous motor." Journal of Computational Methods in Sciences and Engineering 20, no. 3 (September 30, 2020): 959–73. http://dx.doi.org/10.3233/jcm-194127.

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The stator winding inter-turn short fault of permanent magnet synchronous motor (PMSM) is a common motor fault with high probability. If this fault is not detected and handled in time, small initial fault will rapidly develop into other faults such as grounding short, inter-phase short, winding short et al., and even the motor damage. In order to diagnose the inter-turn short fault of PMSM, this paper firstly builds the model of the inter-turn short fault of PMSM, and then proposes a fast and simple fault diagnosis method for extracting the features of the inter-turn short fault under noise. For the first time, by introducing the full-short-circuit resistance Rf that relates with the fault severity factor δ and by estimating the inductance of inter-turn short fault motor on-line according to the three principles of the inductance calculation, which is used in the inter-turn short fault of transformer winding, the inter-turn short analysis model of PMSM is deduced. The model can be used to simulate the performance not only the health of PMSM but also the fault of inter-turn short fault of PMSM in one phase winding. This paper analyses the transient and steady state performance of 3-phase unbalanced current, speed and electromagnetic torque ripple and the relationship between full-short-circuit resistance and short current under fault condition. Finally, a fast and simple on-line fault diagnosis method of PMSM with inter-turn short fault is proposed based on phase sensitive detection (PSD) algorithm. The method uses the fundamental and third harmonic features of inter-turn short fault current. The simulation results show that the model can be well suited for the simulation of PMSM with inter-turn short fault, and the method can effectively extract the features and diagnose the fault.

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44

Ma, Kuichao, Jiangsheng Zhu, Mohsen Soltani, Amin Hajizadeh, and Zhe Chen. "Inter-Turn Short-Circuit Fault Ride-Through for DFIG Wind Turbines." IFAC-PapersOnLine 53, no. 2 (2020): 12757–62. http://dx.doi.org/10.1016/j.ifacol.2020.12.1916.

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45

Souza, Ruhan Pontes Policarpo de, Cristiano Marcos Agulhari, Alessandro Goedtel, and Marcelo Favoretto Castoldi. "Inter-turn short-circuit fault diagnosis using robust adaptive parameter estimation." International Journal of Electrical Power & Energy Systems 139 (July 2022): 107999. http://dx.doi.org/10.1016/j.ijepes.2022.107999.

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46

Benmansour, A., S. Azzopardi, J. C. Martin, and E. Woirgard. "Failure mechanism of trench IGBT under short-circuit after turn-off." Microelectronics Reliability 46, no. 9-11 (September 2006): 1778–83. http://dx.doi.org/10.1016/j.microrel.2006.07.059.

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47

Zhang, Jiayuan, Wei Zhan, and Mehrdad Ehsani. "Fault-Tolerant Control of PMSM With Inter-Turn Short-Circuit Fault." IEEE Transactions on Energy Conversion 34, no. 4 (December 2019): 2267–75. http://dx.doi.org/10.1109/tec.2019.2936225.

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48

Xu, Zhao, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, and Sivakumar Nadarajan. "Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines." IEEE Access 5 (2017): 25055–68. http://dx.doi.org/10.1109/access.2017.2764474.

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49

Bacchus, Alexandre, Melisande Biet, Ludovic Macaire, Abdelmounaim Tounzi, and Yvonnick Le Menach. "Alternator Rotor Inter-turn Short-Circuit Identification using FEM Based Learning." IFAC-PapersOnLine 48, no. 21 (2015): 1432–37. http://dx.doi.org/10.1016/j.ifacol.2015.09.726.

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50

Ismagilov, Flyur, Irek Khayrullin, Vyacheslav Vavilov, and Valentina Ayguzina. "An Electromagnetic Moment in Short Circuits in Electrical Rotating Machines with High-Coercivity Permanent Magnets." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 2 (August 1, 2017): 483. http://dx.doi.org/10.11591/ijeecs.v7.i2.pp483-491.

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<p>This paper presents a computer model of an electrical rotating machine with high-coercivity permanent magnets and research of various short-circuit types in the electrical rotating machine with high-coercivity permanent magnets, including turn-to-turn short circuit. Diagnostic criteria of short circuits are revealed. There are the electromagnetic moment and the magnetic flux density in the stator core back. With comparison the experiment and computer modeling results, it was found that the created computer model is highly accurate and completely repeats the experiment results. The numerical discrepancy between the experimental data and the simulation data is below 5%. The obtained results can be used in practice in the design of the electrical rotating machine with high-coercivity permanent magnets.</p>

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