Stray Flux-Based Rotation Angle Measurement for Bearing Fault Diagnosis in Variable-Speed BLDC Motors

被引:16
作者
Wang, Xiaoxian [1 ,2 ,3 ]
Lu, Siliang [1 ,4 ]
Cao, Wenping [4 ,5 ]
Xia, Min [6 ]
Chen, Kang [4 ,7 ]
Ding, Jianming [1 ]
Zhang, Shiwu [8 ]
机构
[1] Southwest Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R China
[2] Anhui Univ, Coll Elect & Informat Engn, Hefei 230601, Peoples R China
[3] Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230027, Peoples R China
[4] Anhui Univ, Coll Elect Engn & Automat, Hefei 230601, Peoples R China
[5] Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England
[6] Univ Lancaster, Dept Engn, Lancaster LA1 4YW, England
[7] Anhui Univ, Coll Elect Engn & Automat, Natl Engn Lab Energy Saving Motor & Control Techn, Hefei 230601, Peoples R China
[8] Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, CAS Key Lab Mech Behav & Design Mat, Hefei 230027, Peoples R China
基金
中国国家自然科学基金;
关键词
Permanent magnet motors; Rotation measurement; Traction motors; Fault diagnosis; Vibrations; Rotors; Magnetic sensors; Bearing fault; BLDC motors; fault diagnosis; rotation angle measurement; stray flux; vibration signal analysis; ORDER ANALYSIS; STATOR; ALGORITHM; WINDINGS;
D O I
10.1109/TEC.2021.3079444
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Angle of rotation is a key parameter in motor fault diagnosis under varying speed conditions, and is usually measured by an optical encoder. However, the use of encoders is intrusive and in many scenarios its signal is difficult to access due to technical or commercial reasons. In this study, a novel rotation angle measurement method based on stray flux analysis is proposed and applied to bearing fault diagnosis of brushless direct-current (BLDC) motors. The measurement accuracy of the proposed method is comparable to that from an encoder. The developed method is flexible, noninvasive, and nondestructive. It is easy to implement and eliminates the need for long cables and access of the motor control system. The proposed method can be extended to the diagnosis of motor electrical and drive faults. If implemented with an Internet of Things (IoT) or a hand-held device, it can further improve the reliability of sensorless motor drive systems in industrial automation so as to meet Industry 4.0 requirements.
引用
收藏
页码:3156 / 3166
页数:11
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