Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decompositi...
Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Due to the early formation of rolling bearing fault characteristics in an environment with strong background noise, the single use of the time-varying filtering empirical mode decomposition (TVFEMD) method is not effective for the extraction of fault characteristics. To solve this problem, a new method for early fault detection of rolling bearings...
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Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted
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TN_cdi_doaj_primary_oai_doaj_org_article_390375e2413d49e7aa981a3cfa75bbb0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_390375e2413d49e7aa981a3cfa75bbb0
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ISSN
1099-4300
E-ISSN
1099-4300
DOI
10.3390/e25101452
