Open-Circuit Fault Detection in Stranded PMSM Windings Using Embedded FBG Thermal Sensors

被引:29
作者
Mohammed, Anees [1 ]
Melecio, Juan, I [1 ]
Djurovic, Sinisa [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Fiber Bragg grating sensors (FBG); embedded thermal monitoring; open circuit fault; PM machines; windings; TURN FAULT; INDUCTION MACHINES; STATOR WINDINGS; MOTOR; DIAGNOSIS; ROTOR;
D O I
10.1109/JSEN.2019.2894097
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
Detection of winding faults in permanent magnet synchronous machines (PMSMs) with stranded winding designs remains a challenging task for conventional diagnostic techniques. This paper proposes a new sensing approach to this problem by investigating the application of dedicated electrically non-conductive and electromagnetic interference immune fiber Bragg grating (FBG) temperature sensors embedded in PMSM windings to enable winding open-circuit fault diagnosis based on observing the fault thermal signature. The final element analysis thermal and electromagnetic models of the examined practical PMSM design are first developed and used to enable the understanding of open-circuit winding fault-induced signature that can be used for effective diagnostic purposes, indicating in situ thermal excitation as an optimal diagnostic measurand. A purpose build test rig with an inverter-driven commercial PMSM instrumented with in situ FBG sensors monitoring phase winding hot spots is then used to evaluate the efficacy of the proposed diagnostic scheme. It is shown that unambiguous diagnosis and severity trending of winding open-circuit faults is enabled by the use of in situ FBG sensors. A comparison with conventional fault diagnostic technique utilizing current signal sensing and analysis is also reported, indicating the considerable advantages of the proposed monitoring scheme employing FRG sensors.
引用
收藏
页码:3358 / 3367
页数:10
相关论文
共 34 条
[1]   A Simple Real-Time Fault Signature Monitoring Tool for Motor-Drive-Embedded Fault Diagnosis Systems [J].
Akin, Bilal ;
Choi, Seungdeog ;
Orguner, Umut ;
Toliyat, Hamid A. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (05) :1990-2001
[2]  
[Anonymous], 2010, 6076312010 IEC
[3]   Analysis of multiphase induction machines with winding faults [J].
Apsley, J ;
Williamson, S .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2006, 42 (02) :465-472
[4]   Electrical Machine Topologies Hottest Topics in the Electrical Machine Research Community [J].
Boglietti, Aldo ;
El-Refaie, Ayman M. ;
Drubel, Oliver ;
Omekanda, Avoki M. ;
Bianchi, Nicola ;
Agamloh, Emmanue L. B. ;
Popescu, Mircea ;
Di Gerlando, Antonino ;
Bartolo, James Borg .
IEEE INDUSTRIAL ELECTRONICS MAGAZINE, 2014, 8 (02) :18-30
[5]  
Casadei D., 2009, P IEEE INT S DIAGN E, P1
[6]   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
[7]   Unbalance and harmonics detection in induction motors using an optical fiber sensor [J].
Corres, Jesus M. ;
Bravo, Javier ;
Arregui, Francisco J. ;
Matias, Ignacio R. .
IEEE SENSORS JOURNAL, 2006, 6 (03) :605-612
[8]  
Estima J. O., 2008, RENEW ENERGY POWER Q, V1, P312
[9]   Demagnetization Modeling and Fault Diagnosing Techniques in Permanent Magnet Machines Under Stationary and Nonstationary Conditions: An Overview [J].
Faiz, Jawad ;
Mazaheri-Tehrani, Ehsan .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (03) :2772-2785
[10]   A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems [J].
Grubic, Stefan ;
Aller, Jose M. ;
Lu, Bin ;
Habetler, Thomas G. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (12) :4127-4136