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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Vydáno v:	Reliability engineering & system safety Ročník 260; s. 110999
Hlavní autoři:	Jiang, Ming, Zhou, Kuang, Gao, Jiahui, Zhang, Fode
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.08.2025
Témata:	Causal representations Fault diagnosis Invariant representations Transfer learning Fault diagnosis Causal representations Invariant representations Transfer learning
ISSN:	0951-8320
On-line přístup:	Získat plný text
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