M-Net: a novel unsupervised domain adaptation framework based on multi-kernel maximum mean discrepancy for fault diagnosis of rotating machinery

Abstract The intelligent fault diagnosis model has made a significant development, whose high-precision results rely on a large amount of labeled data. However, in the actual industrial environment, it is very difficult to obtain a large amount of labeled data. It will make it difficult for the faul...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Shihang Yu, Limei Song, Shanchen Pang, Min Wang, Xiao He, Pengfei Xie
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2024-01-01
Sarja:	Complex & Intelligent Systems
Aiheet:	Intelligent fault diagnosis Domain adaptation Multi-scale features distribution alignment
Linkit:	https://doi.org/10.1007/s40747-023-01320-z
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