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Author:

Wang, Chen (Wang, Chen.) | Wang, Min (Wang, Min.) | Yang, Bin (Yang, Bin.) | Song, Kaiyu (Song, Kaiyu.)

Indexed by:

EI Scopus

Abstract:

Existing bearing fault diagnosis approaches utilize signal processing techniques in combination with vibration measurements. The common vibration measurement method, using accelerometer, has disadvantages such as position-constrains, high costs and external interferences. Meanwhile, the commonly used modelling methods of motor are not able to analyse both mechanic and electromagnetism simultaneously. For detecting the fault-related frequencies in motor current, a mathematical model is developed in this paper based on modified winding function approach (MWFA). The simulation results show that the fault-related characteristic frequencies can be exactly found in the spectrum results of motor current. The proposed method is proven to be feasible. © 2020 Institute of Physics Publishing. All rights reserved.

Keyword:

Fault detection Signal processing Bearings (machine parts) Functions Vibration measurement

Author Community:

  • [ 1 ] [Wang, Chen]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Wang, Min]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang, Min]Beijing Municipal Key Laboratory of Electrical Discharge Machining Technology, Beijing, China
  • [ 4 ] [Yang, Bin]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Song, Kaiyu]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China

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ISSN: 1742-6588

Year: 2020

Issue: 3

Volume: 1650

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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