Online Diagnosis and Localization of High-Resistance Connection in PMSM With Improved Fault Indicator

被引:39
|
作者
Zhang, Jianzhong [1 ]
Hang, Jun [1 ,2 ]
Ding, Shichuan [1 ,3 ]
Cheng, Ming [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Anhui Univ, Coll Elect Engn & Automat, Hefei 230601, Peoples R China
[3] Anhui Univ, Natl Engn Lab Energy Saving Motor & Control Tech, Hefei 230601, Peoples R China
基金
中国国家自然科学基金;
关键词
Fault diagnosis; frequency tracking algorithm; high-resistance connection (HRC); permanent magnet machine; wind energy; INDUCTION-MOTOR DRIVES; TURN FAULTS; MACHINES; UNBALANCE; SYSTEM;
D O I
10.1109/TPEL.2016.2587670
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a method for online diagnosis and localization of high-resistance connection (HRC) in permanent magnet synchronous machine (PMSM) with an improved fault indicator. In the proposed method, the amplitude and initial phase angle of zero-sequence voltage component are both analyzed. Based on the analysis, the fault indicator with angle difference is defined for fault diagnosis and localization. It is shown that not only the HRC can be detected, but also the fault severity can be assessed and the faulty phases can be identified in this method. The simulation and experiment are carried out to verify the theoretical analysis. Both the results show that the proposed method can be effectively applied for online detection and identification of the HRC in the PMSM.
引用
收藏
页码:3585 / 3594
页数:10
相关论文
共 50 条
  • [31] High-Resistance Connection Diagnosis Considering Current Closed-Loop Effect for Permanent Magnet Machine
    Xu, Zheng
    Din, Zakiud
    Jiang, Yongjiang
    Cheema, Khalid Mehmood
    Milyani, Ahmad H.
    Alghamdi, Sultan
    FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [32] Research on Fault Indicator for Integrated Fault Diagnosis System of PMSM Based on Stator Tooth Flux
    Lv, Ke
    Wang, Dong
    Huang, Wen
    Hu, Jinghua
    IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2024, 12 (01) : 985 - 996
  • [33] Detection and classification of turn fault and high-resistance connection fault in inverter-fed permanent magnet machines based on high-frequency signals
    Hu, Rongguang
    Wang, Jiabin
    Mills, Andrew
    Chong, Ellis
    Sun, Zhigang
    JOURNAL OF ENGINEERING-JOE, 2019, (17): : 4278 - 4282
  • [34] High-Resistance Fault Control in Permanent Magnet Synchronous Motors
    Kommuri, Suneel Kumar
    Park, Yonghyun
    Lee, Sang Bin
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 25 (01) : 271 - 281
  • [35] High-resistance grounding fault detector by use of feeding current
    Hase, Shin-Ichi
    Okui, Akinobu
    Sekijima, Shiro
    Sugai, Shunichi
    Akagi, Masataka
    Kimura, Takashi
    Quarterly Report of RTRI (Railway Technical Research Institute) (Japan), 2008, 49 (02): : 108 - 112
  • [36] Online Diagnostic Method for the Detection of High-Resistance Connections and Open-Phase Faults in Six-Phase PMSM Drives
    Goncalves, Pedro F. C.
    Cruz, Sergio M. A.
    Mendes, Andre M. S.
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (01) : 345 - 355
  • [37] Quasi-Fault-Tolerant Control for Open-End Winding Five-Phase PMSM With High-Resistance Connection Failure Using Time-Variant Transform Techniques
    Du, Yuxuan
    Tao, Tao
    Zhao, Wenxiang
    Ji, Jinghua
    Li, Zongwang
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (04): : 7971 - 7983
  • [38] Flux Linkage Detection Based Ground Fault Identification and System Diagnosis in High-Resistance Grounding Systems
    Hu, Jiangang
    Wei, Lixiang
    McGuire, Jeffrey
    Liu, Zhijun
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (03) : 2967 - 2975
  • [39] USING COMMON INSTRUMENTS TO MEASURE HIGH-RESISTANCE ON LONG CONNECTION LINES
    SEMENOV, VA
    MEASUREMENT TECHNIQUES USSR, 1989, 32 (08): : 814 - 815
  • [40] Online Detection of High-Resistance Connections in Multiphase Induction Machines
    Mengoni, Michele
    Zarri, Luca
    Tani, Angelo
    Gritli, Yasser
    Serra, Giovanni
    Filippetti, Fiorenzo
    Casadei, Domenico
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2015, 30 (08) : 4505 - 4513