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[会议论文]

Fault Diagnosis of Bearing Based on Fuzzy Support Vector Machine

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Author:

Ma, Haodong (Ma, Haodong.) | Xiong, Yi (Xiong, Yi.) | Fang, Hongzheng (Fang, Hongzheng.) | Unfold

Indexed by:

CPCI-S

Abstract:

In rotating machinery equipment, bearing is one of the most common parts. Because of the complex working conditions, the bearing system is subject to get failure. The running state of bearing system, which is normal or not, will directly affect the safety of the production line, or even cause some accidents. Therefore, the technology of fault diagnosis of rolling bearing has important theoretical value and practical significance in production safety. In the light of the vibration data of rolling bearing, including the normal operation of rolling bearing, the single point fault of the inner ring, the single point fault of the outer ring and the single point fault of the ball, those four cases, time, envelope and frequency analysis were performed to extract fault features. Considering the interference of noise and outliers, support vector machine (SVM) theory combined with the fuzzy c-means (FCM) clustering algorithm was used to establish the fuzzy support vector machine (FSVM) model. Train the samples, using the founded model of FSVM, and then the test and identification of bearing fault would be obtained.

Keyword:

Fault Diagnosis FSVM Fault feature Rolling Bearing FCM

Author Community:

  • [ 1 ] [Ma, Haodong]Beijing Aerosp Measure & Control Corp Ltd, Beijing 100041, Peoples R China
  • [ 2 ] [Xiong, Yi]Beijing Aerosp Measure & Control Corp Ltd, Beijing 100041, Peoples R China
  • [ 3 ] [Fang, Hongzheng]Beijing Aerosp Measure & Control Corp Ltd, Beijing 100041, Peoples R China
  • [ 4 ] [Ma, Haodong]Beijing Key Lab High Speed Transport Intelligent, Beijing 100041, Peoples R China
  • [ 5 ] [Xiong, Yi]Beijing Key Lab High Speed Transport Intelligent, Beijing 100041, Peoples R China
  • [ 6 ] [Fang, Hongzheng]Beijing Key Lab High Speed Transport Intelligent, Beijing 100041, Peoples R China
  • [ 7 ] [Gu, Lichao]Beijing Univ Technol, Beijing 100011, Peoples R China

Reprint Author's Address:

  • [Ma, Haodong]Beijing Aerosp Measure & Control Corp Ltd, Beijing 100041, Peoples R China

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Related Article:

Source :

2015 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM)

ISSN: 2166-5656

Year: 2015

Language: English

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 1

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