Fault Diagnosis of Rolling Bearings using Multi-scale Convolution Neural Network with Hybrid Attention Mechanism

With the continuous development of artificial intelligence technology, mechanical fault diagnosis methods based on deep learning (DL) have made great progress. Nevertheless, the operating conditions of mechanical equipment are subject to substantial random factors in real industrial scenarios and th...

Full description

Bibliographic Details

Published in:	2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) pp. 1 - 6
Main Authors:	Tian, Feiyu, Lei, Zihao, Su, Yu, Feng, Ke, Wen, Guangrui, Chen, Xuefeng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30.11.2022
Subjects:	Convolution Fault diagnosis hybrid attention mechanism multi-scale CNN Neural networks Representation learning Rolling bearing Rolling bearings Vibrations Working environment noise
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!