A hybrid feature extraction method for fault detection of turnouts
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8125643/8242722/08242827.pdf?arnumber=8242827
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification;IET Intelligent Transport Systems;2023-04-06
2. A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation;Sensors;2022-12-02
3. An enhanced fault detection method for railway turnouts incorporating prior faulty information;2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC);2020-09-20
4. Gap Detection of Switch Machines in Complex Environment Based on Object Detection and Image Processing;Journal of Transportation Engineering, Part A: Systems;2020-08
5. Simulation Data Generating Algorithm for Railway Turnout Fault Diagnosis in Big Data Maintenance Management System;International Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings;2019
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