Simplified Pre-Analysis of Fault Severity for Interturn Short-Circuit Faults in Fault-Tolerant Permanent Magnet Machines

被引:0
作者
Hu, Jianhui [1 ]
Wang, Huidong [1 ]
Wei, Fangrui [1 ]
Li, Chuanyang [2 ]
Li, Yong [1 ]
机构
[1] Harbin Inst Technol, Dept Elect Engn, Harbin 150001, Peoples R China
[2] PLA Rocket Force Univ Engn, Lab Intelligent Control, Xian 710025, Peoples R China
基金
中国国家自然科学基金;
关键词
Circuit faults; Short-circuit currents; Fault tolerant systems; Fault tolerance; Fault diagnosis; Electrons; Windings; fault severity; interturn short-circuit faults (ISCFs); permanent magnet machines; short-circuit current; DIAGNOSIS;
D O I
10.1109/TIE.2024.3429658
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This letter proposes a simplified offline preanalysis method of fault severity for interturn short-circuit faults (ISCFs) in fault-tolerant permanent magnet synchronous machines (FTPMSMs). For fault diagnosis and fault-tolerant (FT) control, it is important to predict how much short-circuit current will be generated at various speeds, loads, shorted turns ratios, and fault resistances. However, predicting the short-circuit current usually needs to solve differential equations by closed-loop simulation or finite element analysis (FEA). To increase the efficiency of fault preanalysis, the proposed method provides a simple solution to quickly offline predict the amplitude of short-circuit current. Simulation and experimental results show the effectiveness of the proposed method for different fault severities and various operations.
引用
收藏
页码:2160 / 2164
页数:5
相关论文
共 27 条
[1]  
陈家瑞, 1999, [铁道建筑, Railway Engineering], P19
[2]   Fault Diagnosis Techniques for Permanent Magnet AC Machine and Drives-A Review of Current State of the Art [J].
Choi, Seungdeog ;
Haque, Moinul Shahidul ;
Bin Tarek, Md Tawhid ;
Mulpuri, Vamsi ;
Duan, Yao ;
Das, Sanjoy ;
Garg, Vijay ;
Ionel, Dan M. ;
Masrur, M. Abul ;
Mirafzal, Behrooz ;
Toliyat, Hamid A. .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2018, 4 (02) :444-463
[3]   Interturn Fault Diagnosis Strategy for Interior Permanent-Magnet Synchronous Motor of Electric Vehicles Based on Digital Signal Processor [J].
Du, Bochao ;
Wu, Shaopeng ;
Han, Shouliang ;
Cui, Shumei .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (03) :1694-1706
[4]   Intelligent Data-Driven Diagnosis of Incipient Interturn Short Circuit Fault in Field Winding of Salient Pole Synchronous Generators [J].
Ehya, Hossein ;
Skreien, Tarjei N. ;
Nysveen, Arne .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (05) :3286-3294
[5]   Fractional-Slot Concentrated-Windings Synchronous Permanent Magnet Machines: Opportunities and Challenges [J].
El-Refaie, Ayman M. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2010, 57 (01) :107-121
[6]  
Gao ZW, 2015, IEEE T IND ELECTRON, V62, P3757, DOI [10.1109/TIE.2015.2417501, 10.1109/TIE.2015.2419013]
[7]   A Stray Magnetic Flux-Based Robust Diagnosis Method for Detection and Location of Interturn Short Circuit Fault in PMSM [J].
Gurusamy, Vigneshwaran ;
Bostanci, Emine ;
Li, Chen ;
Qi, Yuan ;
Akin, Bilal .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
[8]   Interturn Fault Diagnosis for Model-Predictive-Controlled-PMSM Based on Cost Function and Wavelet Transform [J].
Hang, Jun ;
Zhang, Jibo ;
Xia, Mengjie ;
Ding, Shichuan ;
Hua, Wei .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (06) :6405-6418
[9]   Model-Based Severity Monitoring for Interturn Short Circuit Faults in Symmetrical Six-Phase PMSMs Using Subspace Current Residuals [J].
Hu, Jianhui ;
Wang, Huidong ;
Li, Yong .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2023, 38 (12) :16142-16152
[10]   Current-Residual-Based Stator Interturn Fault Detection in Permanent Magnet Machines [J].
Hu, Rongguang ;
Wang, Jiabin ;
Mills, Andrew R. ;
Chong, Ellis ;
Sun, Zhigang .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (01) :59-69