A New Approach to Detect Stator Fault in Permanent Magnet Synchronous Motors

被引：0
|
作者：
Cira, Ferhat [1 ]
Arkan, Muslum [2 ]
Gumus, Bilal [1 ]
机构：
[1] Dicle Univ, Dept Elect & Elect Engn, Diyarbakir, Turkey
[2] Inonu Univ, Dept Elect & Elect Engn, Malatya, Turkey
来源：
2015 IEEE 10TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED) | 2015年
关键词：
Permanent Magnet Synchronous Motors; Pattern Recognition System; Fault Detection; Condition Monitoring; Digital Signal Processing; Fault Severity Classification;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, detection of the stator winding inter-turn short circuit fault (SWISCF) in surface-mounted permanent magnet synchronous motors (SPMSMs) and classification of the fault severity via pattern recognition system (PRS) are presented. In order to automatically detect stator winding short circuit fault and to estimate severity of this fault, artificial neural network (ANN) based PRS has been used. It has been observed that the amplitude of the 3rd harmonics of the current is the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To increase the fault clasification accuracy of PRS both fundamental (1st) and 3rd harmonics are used. In order to validate proposed method experimental results are presented.
引用
收藏
页码：316 / 321
页数：6
相关论文
共 50 条
  • [1] Modeling and detecting the stator winding fault of permanent magnet synchronous motors
    Liu, Wenxin
    Liu, Li
    Chung, Il-Yop
    Cartes, David A.
    Zhang, Wei
    SIMULATION MODELLING PRACTICE AND THEORY, 2012, 27 : 1 - 16
  • [2] Stator winding fault detection of permanent magnet synchronous motors based on the bispectrum analysis
    Pietrzak, Przemyslaw
    Wolkiewicz, Marcin
    BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES, 2022, 70 (02)
  • [3] Synchronous running of miniature single stator permanent magnet motors
    Collins, WD
    MATHEMATICAL ENGINEERING IN INDUSTRY, 2001, 8 (03) : 187 - 221
  • [4] Online Rotor Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Tooth Flux
    Huang, Song
    Lei, Jiayin
    Zeng, Chong
    Yang, Yongming
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 1998 - 2002
  • [5] Online Rotor Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Tooth Flux
    Zeng, Chong
    Huang, Song
    Lei, Jiayin
    Wan, Zhongxin
    Yang, Yongming
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (03) : 2366 - 2377
  • [6] On-Line Stator Fault Diagnosis in Line-Start Permanent Magnet Synchronous Motors
    Fonseca, D. S. B.
    Santos, Carlos M. C.
    Marques Cardoso, Antonio J.
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 1925 - 1931
  • [7] A Wavelet-Based Fault Diagnosis Approach for Permanent Magnet Synchronous Motors
    Heydarzadeh, Mehrdad
    Zafarani, Mohsen
    Nourani, Mehrdad
    Akin, Bilal
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2019, 34 (02) : 761 - 772
  • [8] Pattern identification for eccentricity fault diagnosis in permanent magnet synchronous motors using stator current monitoring
    Ebrahimi, B. M.
    Faiz, J.
    Araabi, B. N.
    IET ELECTRIC POWER APPLICATIONS, 2010, 4 (06) : 418 - 430
  • [9] Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis
    Ebrahimi, Bashir Mahdi
    Roshtkhari, Mehrsan Javan
    Faiz, Jawad
    Khatami, Seyed Vahid
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (04) : 2041 - 2052
  • [10] Chaoization of Permanent Magnet Synchronous Motors Using Stator Flux Regulation
    Wang, Zheng
    Chau, K. T.
    Jian, Linni
    IEEE TRANSACTIONS ON MAGNETICS, 2008, 44 (11) : 4151 - 4154
12345