Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification

Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification

Abstract Problems such as poor noise immunity and overfitting are prone to occur when convolutional neural network (CNN) is exploited in the fault diagnosis of ZDJ7 railway point machine. In addition, some fault features are unbalanced and have the features of multiple tags, which lead to low diagno...

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Bibliographic Details
Main Authors: Zengshu Shi, Yiman Du, Xinwen Yao
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:IET Intelligent Transport Systems
Subjects:
classification
fault diagnosis
improved deep convolutional neural network
railway point machine
support vector data description
unbalanced samples
Online Access:https://doi.org/10.1049/itr2.12357

Internet

https://doi.org/10.1049/itr2.12357

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