Research on Denoising Method for Hydroelectric Unit Vibration Signal Based on ICEEMDAN–PE–SVD
Research on Denoising Method for Hydroelectric Unit Vibration Signal Based on ICEEMDAN–PE–SVD
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Vibration monitoring and analysis play a crucial role in the fault diagnosis of hydroelectric units. However, accurate extraction and identification of fault features from vibration signals are challenging because of noise interference. To address this issue, this study proposes a novel denoising method for vibration signals based on improved compl...
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Full title
Research on Denoising Method for Hydroelectric Unit Vibration Signal Based on ICEEMDAN–PE–SVD
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TN_cdi_doaj_primary_oai_doaj_org_article_a74adf99bca34d93b71c8b6f5687ff8b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a74adf99bca34d93b71c8b6f5687ff8b
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23146368
