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- Title
The Fault Diagnosis of Rolling Bearing based on Synchrosqueezing Cross Wavelet.
- Authors
Mengjun Huang; Jimeng Li; Guoqian Jiang; Ping Xie; Yifan Wang; Qun He
- Abstract
In this paper the authors present a new feature extraction method based on Synchrosqueezing Cross -Wavelet. First, the compressed the pre-processed vibration signal. Then the synchrosqueezing transform spectrum was processed by cross wavelet transform. This method combined the high resolution of synchronous compression transform in timefrequency domain and the noise immune ability of cross wavelet, making the signal timefrequency spectrum had both good time-frequency aggregation, and can eliminate the random noise interference. The experimental results showed that the proposed method can enhance fault characteristic frequency in time-frequency domain and thus realize accurate and reliable diagnosis of the bearings faults.
- Subjects
MECHANICAL failures; MACHINE bearing maintenance &; repair; WAVELETS (Mathematics)
- Publication
International Journal of COMADEM, 2018, Vol 21, Issue 1, p50
- ISSN
1363-7681
- Publication type
Abstract