Copertina

FE-MCFormer: An interpretable fault diagnosis framework for rotating machinery under strong noise based on time-frequency fusion transformer

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yuan, Yuhan, Jiang, Xiaomo, Yang, Haibin, Zhao, Haixin, Wang, Shengbo, Cheng, Xueyu, Meng, Jigang, Yang, Shuhua
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Signal Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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