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A Review of Fault Diagnosis for Traction Induction Motor

  • Yin Tian
  • , Dingfei Guo
  • , Kunting Zhang
  • , Lihao Jia
  • , Hong Qiao
  • , Haichuan Tang
  • CRRC Industry Institute Co Ltd
  • CAS - Institute of Automation
  • Chinese Academy of Sciences
  • Beijing Key Lab. of Research and Application for Robotic Intelligence of Hand-Eye-Brain Interaction
  • CAS Center for Excellence in Brain Science and Intelligence Technology
  • University of Chinese Academy of Sciences

科研成果: 书/报告/会议事项章节会议稿件同行评审

23 引用 (Scopus)

摘要

With the rapid development of traction motor, the mechanical health monitoring and fault diagnosis field have entered the era of big data. Definite harmonic signals of the line current are located by a popular method known as motor current signature analysis. Different faults of an induction motor such as rotor, stator, bearing, vibration, air gap eccentricity and their different diagnosis techniques are also explored. In fact, the actual fault detection also has a deep development in the artificial intelligence. It is truly evident that the scope of this area is vast. Hence, acknowledging the need for future research, this review paper presents a birds eye view on different types of traction induction faults and their diagnostics schemes.

源语言英语
主期刊名Proceedings of the 37th Chinese Control Conference, CCC 2018
编辑Xin Chen, Qianchuan Zhao
出版商IEEE Computer Society
5763-5768
页数6
ISBN(电子版)9789881563941
DOI
出版状态已出版 - 5 10月 2018
已对外发布
活动37th Chinese Control Conference, CCC 2018 - Wuhan, 中国
期限: 25 7月 201827 7月 2018

出版系列

姓名Chinese Control Conference, CCC
2018-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议37th Chinese Control Conference, CCC 2018
国家/地区中国
Wuhan
时期25/07/1827/07/18

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