Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field

Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field

The axle box in the bogie system of subway trains is a key component connecting primary damper and the axle. In order to extract deep features and large-scale fault features for rapid diagnosis, a novel fault reconstruction characteristics classification method based on deep residual network with a...

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Bibliographic Details
Main Authors: Hu Yu, Xiaodong Miao, Hua Wang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
subway train
fault diagnosis
data reconstruction
deep learning
residual neural network
Gramian angular field
Online Access:https://www.mdpi.com/1424-8220/22/5/1705

Internet

https://www.mdpi.com/1424-8220/22/5/1705

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