Lightweight Convolutional Network for Bearing Fault Diagnosis

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: LIU Hui, LI Yang, HOU Yimin
Format: Artikel
Sprache:Chinesisch
Veröffentlicht: Harbin University of Science and Technology Publications 2024-08-01
Schriftenreihe:Journal of Harbin University of Science and Technology
Schlagworte:
fault detection
convolutional neural networks
model structures
vibrations (mechanical)
Online-Zugang:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2352
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge