Prediction of Performance Degradation Trends of Turnout Machine Based on Autoencoder and TCN Network-Reference-Cited by-同舟云学术

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Prediction of Performance Degradation Trends of Turnout Machine Based on Autoencoder and TCN Network

Published:2023-10-20 Issue: Volume:53 Page:263-266
ISSN:
Container-title:2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)
language:
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Author:

Li Yanwen¹,Zhang Youpeng¹,Yang Ni¹

Affiliation:

1. Lanzhou Jiaotong University, School of Automation and Electrical Engineering,Lanzhou,Gansu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490442/10490456/10491049.pdf?arnumber=10491049

Reference12 articles.

1. Fault detection and health assessment method of Turnout Based on SVDD [J];Zhiwang;Journal of Southwest Jiaotong University,2018

2. Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment

3. Research on Degradation State of Turnout Equipment Based on SOM-BP Hybrid Natural Network[J];Limin;China Railway Science,2020

4. Switch machine based on wavelet energy spectrum entropy andimproved ELM fault prediction[J];BoHong;Journal of Yunnan University(Natural Sciences Edition),2022

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