Cyclostationary Analysis based Fault Feature Extracting of Rolling Element Bearing

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概要

• 論文の詳細を見る

• Many researches have proven that the vibration signal of rolling element bearing can be considered as a kind of cyclostationary signal (CS) since its periodically time various characteristics especially when fault occurs. In this paper, the basic theories of second-order cyclostationary signal processing is introduced. Then, a method so called slice analysis based on spectrum correlation density function is proposed, and it is employed in fault feature extracting to the vibration signal of rolling element bearing. Simulation and application results demonstrate that the slice analysis method is available and effective in fault diagnosis of rolling element bearing.

• 一般社団法人日本機械学会の論文
• 2006-11-29

著者

• Chen Jin

  State Key Laboratory Of Earth Surface Processes And Resource Ecology Beijing Normal University

• Chen Jin

  State Key Laboratory Of Vibration Shock & Noise Shanghai Jiao Tong University

• BI Guo

  State Key Laboratory of Vibration, Shock & Noise, Shanghai Jiao Tong University

• Bi Guo

  State Key Laboratory Of Vibration Shock & Noise Shanghai Jiao Tong University

関連論文

• Cyclostationary Analysis based Fault Feature Extracting of Rolling Element Bearing
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