A Multiscale Recursive Attention Gate Federation Method for Multiple Working Conditions Fault Diagnosis

Federated learning (FL) is an effective method when a single client cannot provide enough samples for multiple condition fault diagnosis of bearings since it can combine the information provided by multiple clients. However, some of the client’s working conditions are different; for example, differe...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Zhiqiang Zhang, Funa Zhou, Chaoge Wang, Chenglin Wen, Xiong Hu, Tianzhen Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-08-01
Sarja:	Entropy
Aiheet:	federated learning multiple working condition multiscale recursive fault diagnosis
Linkit:	https://www.mdpi.com/1099-4300/25/8/1165
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