Incipient Fault Feature Enhancement of Rolling Bearings Based on CEEMDAN and MCKD
A rolling bearing vibration signal fault feature enhancement method based on adaptive complete ensemble empirical mode decomposition with adaptive noise algorithm (CEEMDAN) and maximum correlated kurtosis deconvolution (MCKD) is proposed to address the issue that rolling bearings are prone to noise...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
MDPI AG
2023-05-01
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| Serie: | Applied Sciences |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2076-3417/13/9/5688 |
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