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- Title
低信噪比下的滚动轴承早期微弱故障识别.
- Authors
张赟; 王永华; 唐岩辉; 韦祥; 王景霖
- Abstract
The early weak fault recognition of the rolling bearing under low signal to noise ratio is always a diffi=culty problem. The envelope spectrum method based on Hilbert transform demodulation is a classical bearing fault detecting method which is applied on engineering practice widely. However, the method is hard to deal with the early weak fault diagnosis of the bearing. Thus a high-order statistic called spectral kurtosis is used to study the early weak fault recognition of the rolling bearing. The whole life cycle data from rolling bearing run-tofailure test is used for analysis and evaluation. The obtained result shows that the spectral kurtosis method can recognize the early weak fault successfully, and detect the fault in 200 minutes in advance compared to the envelope spectrum method. The advantage of recognizing the weak signal locating in the resonance band with high signal to noise ratio is therefore demonstrated.
- Publication
Journal of Vibration, Measurement & Diagnosis, 2023, Vol 43, Issue 6, p1158
- ISSN
1004-6801
- Publication type
Article
- DOI
10.16450/j.cnki.issn.1004-6801.2023.06.016