Research on Fault Detection for ZPW-2000A Jointless Track Circuit Based on Deep Belief Network Optimized by Improved Particle Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

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Research on Fault Detection for ZPW-2000A Jointless Track Circuit Based on Deep Belief Network Optimized by Improved Particle Swarm Optimization Algorithm

Published:2020 Issue: Volume:8 Page:175981-175997
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zheng Ziyuan^ORCID,Dai Shenghua^ORCID,Xie Xuxu^ORCID

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09201505.pdf?arnumber=9201505

Cited by 7 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. Track Circuits Fault Diagnosis Method Based on the UNet-LSTM Network (ULN);Journal of Electrical and Computer Engineering;2024-02-03

2. ZPW-2000 frequency-shift signal detection algorithm based on nonlinear least squares method;Physica Scripta;2024-01-29

3. Improving Noise Immunity of Audio Frequency Track Circuits Using Neural Networks and Data Classification;TRANSBALTICA XIII: Transportation Science and Technology;2023

4. Improved Frequency-Domain Algorithm for High-Voltage Asymmetry Impulse Track Circuit;2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE);2022-11-11

5. Automated Train Coordinate Determination System with Self-Tuning of the Decision Function;Engineering Technologies and Systems;2022-09-30

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