A wavelet-based method for extracting rolling bearing vibration signal envelope

  • Authors:

  • Pi Jun;Liao Ming-Fu

  • Affiliations:

  • Institute of Monitoring and Control for Rotating Machinery and Windturbines, Northwestern Polytechnical University, Xi'an, China;Institute of Monitoring and Control for Rotating Machinery and Windturbines, Northwestern Polytechnical University, Xi'an, China

  • Venue:
  • CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
  • Year:
  • 2007

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Abstract

The rolling bearing signal is investigated according to the principal that the Wavelet can extract the signal envelope. A Wavelet-based self-information extracting envelope method (WSEM) is applied. Application of the method demonstrates that the method is effective to extract the rolling bearing signal envelope and is useful to analysis the rolling bearing faults.