A Temperature and Magnetic Field-Based Approach for Stator Inter-Turn Fault Detection

被引:17
作者
Wu, Yi-Hang [1 ]
Liu, Ming-Yao [1 ]
Song, Han [1 ]
Li, Cong [1 ]
Yang, Xue-Li [1 ]
机构
[1] Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Peoples R China
基金
中国国家自然科学基金;
关键词
Fiber Bragg grating (FBG); induction motors; inter-turn short circuit; magnetic sensing; metal-coated FBG (MFBG); temperature measurement; SHORT-CIRCUIT FAULT; INDUCTION-MOTORS; WINDINGS; DIAGNOSIS; SENSOR;
D O I
10.1109/JSEN.2022.3198146
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
Effective fault detection techniques are needed to reduce the maintenance and downtime costs of induction motors. This article presents an approach for stator end-winding inter-turn short-circuit fault detection using a metal-coated fiber Bragg grating (FBG) sensor with 0.5-mm diameter and 10-mm length to monitor the temperature and magnetic field around the end winding. The sensing theory, design, manufacturing, and installation of the sensor are detailed in this article. The nickel coating on the surface of the sensor is formed by electroless plating and electroplating, which makes the sensor sensitive to both temperature and magnetic field. The feasibility of the presented approach has been supported by both simulation and experimental results. The temperature and magnetic field signals are decoupled by filtering, and the experimental data are analyzed in the time-frequency domain. The results show that the inter-turn short-circuit fault can be detected at an incipient stage with 5% shorted turns.
引用
收藏
页码:17799 / 17807
页数:9
相关论文
共 31 条
[1]  
Alsaedi M. A., 2015, Optics, V4, P1, DOI DOI 10.11648/J.OPTICS.S.2015040101.11
[2]   An Empirical Demodulation for Electrical Fault Detection in Induction Motors [J].
Batista, Fabiano Bianchini ;
Monteiro Lamim Filho, Paulo Cezar ;
Pederiva, Robson ;
Diniz Silva, Vinicius Augusto .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2016, 65 (03) :559-569
[3]   A magnetostrictive-fiber Bragg grating sensor for induction motor health monitoring [J].
Bieler, Geraldo ;
Werneck, Marcelo M. .
MEASUREMENT, 2018, 122 :117-127
[4]   Condition Monitoring and Fault Diagnosis of Induction Motors: A Review [J].
Choudhary, Anurag ;
Goyal, Deepam ;
Shimi, Sudha Letha ;
Akula, Aparna .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2019, 26 (04) :1221-1238
[5]   Motor Current Signal Analysis Based on a Matched Subspace Detector [J].
Elbouchikhi, Elhoussin ;
Choqueuse, Vincent ;
Auger, Francois ;
Benbouzid, Mohamed El Hachemi .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 66 (12) :3260-3270
[6]   Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review [J].
Gangsar, Purushottam ;
Tiwari, Rajiv .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 144
[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]   Detection of Stator Winding Inter-Turn Short Circuit Fault in Induction Motor Using Vibration Signals by MEMS Accelerometer [J].
Hegde, Vishwanath ;
Rao, Maruthi Gujjar Sathyanarayana .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2017, 45 (13) :1463-1473
[9]   Fiber Bragg grating technology fundamentals and overview [J].
Hill, KO ;
Meltz, G .
JOURNAL OF LIGHTWAVE TECHNOLOGY, 1997, 15 (08) :1263-1276
[10]   Stator-Winding Incipient Shorted-Turn Fault Detection for Motor System in Motorized Spindle Using Modified Interval Observers [J].
Hou, Maxiao ;
Shi, Huaitao .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70