Application of Wavelet Transform in Fault Diagnosis of Rolling Bearing
Yuwei Liu
Abstract
Yuwei Liu
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.
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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)