A semi-supervised anomaly detection approach for detecting mechanical failures

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Bibliographic Details
Published inAI EDAM
Format Journal Article
LanguageEnglish
Published 13.11.2024
Online AccessGet full text
ISSN0890-0604
1469-1760
DOI10.1017/s0890060424000131

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ISSN:0890-0604
1469-1760
DOI:10.1017/s0890060424000131