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Application of Wavelet Transform in Fault Diagnosis of Rolling Bearing

Yuwei Liu

Open publisher page 1 citations

Abstract

Using wavelet transform,the band-pass filter can be done fast and effectively in processing the vibration signal of rolling bearing.The high-frequency inherent vibration signal is separated quite well with multi-scale wavelet transform.Then an envelope analysis is made to the high-frequency vibration signal.The fault of rolling bearing component is diagnosed by extracting fault feature from envelope frequency spectrum figure.The experiment result shows that this diagnosis approach is effective.

About this research paper

What this paper is about

Using wavelet transform,the band-pass filter can be done fast and effectively in processing the vibration signal of rolling bearing.The high-frequency inherent vibration signal is separated quite well with multi-scale wavelet transform.Then an envelope analysis is made to the high-frequency vibration signal.The fault of rolling bearing component is diagnosed by extracting fault feature from envelope frequency spectrum figure.The experiment result shows that this diagnosis approach is effective.

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Available abstract

Using wavelet transform,the band-pass filter can be done fast and effectively in processing the vibration signal of rolling bearing.The high-frequency inherent vibration signal is separated quite well with multi-scale wavelet transform.Then an envelope analysis is made to the high-frequency vibration signal.The fault of rolling bearing component is diagnosed by extracting fault feature from envelope frequency spectrum figure.The experiment result shows that this diagnosis approach is effective.

Key concepts: Envelope (radar), Bearing (navigation), Vibration, Fault (geology), Wavelet, Wavelet transform, SIGNAL (programming language), Filter (signal processing)

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Application of Wavelet Transform in Fault Diagnosis of Rolling Bearing — Research Paper | ScholarLens