Integrating causal representations with domain adaptation for fault diagnosis

In practical fault diagnosis, obtaining sufficient samples is often challenging. Transfer learning can help by using data from related domains, but significant distribution differences often exist due to different working conditions. To address this issue, cross-domain fault diagnosis (CDFD) has att...

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Vydané v:	Reliability engineering & system safety Ročník 260; s. 110999
Hlavní autori:	Jiang, Ming, Zhou, Kuang, Gao, Jiahui, Zhang, Fode
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2025
Predmet:	Causal representations Fault diagnosis Invariant representations Transfer learning Fault diagnosis Causal representations Invariant representations Transfer learning
ISSN:	0951-8320
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