Fault Detection of Rotating Machines Using poly-Coherent Composite Spectrum of Measured Vibration Re...
Fault Detection of Rotating Machines Using poly-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
This study presents an efficient vibration-based fault detection method for rotating machines utilising the poly-coherent composite spectrum (pCCS) and machine learning techniques. pCCS combines vibration measurements from multiple bearing locations into a single spectrum, retaining amplitude and phase information while reducing background noise. T...
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Full title
Fault Detection of Rotating Machines Using poly-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_06e4d03a0b654e26b987527018ac7a75
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_06e4d03a0b654e26b987527018ac7a75
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ISSN
2075-1702
E-ISSN
2075-1702
DOI
10.3390/machines12080573
