Lightweight Convolutional Network for Bearing Fault Diagnosis

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Lightweight Convolutional Network for Bearing Fault Diagnosis

In the field of bearing fault diagnosis, many convolutional models with excellent performance face challenges in industrial applications due to deployment cost constraints. This paper aims to develop a lightweight diagnostic method with reduced parameters. We investigate the feasibility of using de...

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Opis bibliograficzny
Główni autorzy:	LIU Hui, LI Yang, HOU Yimin
Format:	Artykuł
Język:	chiński
Wydane:	Harbin University of Science and Technology Publications 2024-08-01
Seria:	Journal of Harbin University of Science and Technology
Hasła przedmiotowe:	fault detection convolutional neural networks model structures vibrations (mechanical)
Dostęp online:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2352
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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