Machine Sound Using Wavelet and Application in Rolling Bearing Fault Diagnosis

ZHANG Wujun; XU Jinwu; YANG Debin; ZHOU Yanling; WANG Haifeng

doi:10.13374/j.issn1001-053x.2002.01.045

Volume 24 Issue 1

Aug. 2021

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ZHANG Wujun, XU Jinwu, YANG Debin, ZHOU Yanling, WANG Haifeng. Machine Sound Using Wavelet and Application in Rolling Bearing Fault Diagnosis[J]. Chinese Journal of Engineering, 2002, 24(1): 58-60. doi: 10.13374/j.issn1001-053x.2002.01.045

Citation:

ZHANG Wujun, XU Jinwu, YANG Debin, ZHOU Yanling, WANG Haifeng. Machine Sound Using Wavelet and Application in Rolling Bearing Fault Diagnosis[J]. Chinese Journal of Engineering, 2002, 24(1): 58-60. doi: 10.13374/j.issn1001-053x.2002.01.045

Citation:

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Machine Sound Using Wavelet and Application in Rolling Bearing Fault Diagnosis

doi: 10.13374/j.issn1001-053x.2002.01.045

Mechanical Engineering School, UST Beijing Beijing 100083, China

Received Date: 2001-04-02
Available Online: 2021-08-21

Abstract

Abstract

Machine sound always carries information about the working of the machine. But in many cases, the sound has a very low SNR, so it is very difficult to make time-frequency analyse of sound signal. A denoising method based on wavelet technology is given. Based on wavelet decomposition, sound signal caused by mechanical diagnosis can be separated. Experimentation tests that this is an effective method to diagnose fault of rolling bearing comparing with other fault diagnosis methods.
- sound signal,
- fault diagnosis,
- wavelet,
- rolling bearing