ZPW-2000A Track Circuit Fault Diagnosis Based on
 Artificial Intelligence

doi:10.3969/j.issn.1673-4440.2021.10.008

Railway Signalling & Communication Engineering ›› 2021, Vol. 18 ›› Issue (10): 35-39.DOI: 10.3969/j.issn.1673-4440.2021.10.008

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ZPW-2000A Track Circuit Fault Diagnosis Based on Artificial Intelligence

Wen Wuchen

China Railway Construction Electrification Design & Research Institute, Beijing 100043, China

Received:2021-07-08 Revised:2021-07-18 Online:2021-09-25 Published:2021-11-01

基于人工智能的ZPW-2000A轨道电路故障诊断方法研究

文武臣

北京中铁建电气化设计研究院有限公司，北京 100043

Abstract

Abstract: In this paper, aiming at the current situation for the difficult and complicated artificial fault diagnosis of ZPW-2000A track circuit, according to its common faults, the causes and modes of faults are analyzed, and the fault diagnosis of ZPW-2000A track circuit is discussed by using several techniques of artificial intelligence theory, such as expert system, artificial neural network, and fuzzy theory.

Key words: ZPW-2000A, fault diagnosis, artificial intelligence, fuzzy theory

摘要： 针对ZPW-2000A型轨道电路人工故障诊断工作繁重、复杂的现状，根据其常见故障，分析故障原因与故障模式，利用人工智能理论中的几种技术——专家系统、人工神经网络和模糊理论，对ZPW-2000A轨道电路的故障诊断进行探讨。

关键词: ZPW-2000A, 故障诊断, 人工智能, 模糊理论

CLC Number:

Wen Wuchen. ZPW-2000A Track Circuit Fault Diagnosis Based on Artificial Intelligence[J]. Railway Signalling & Communication Engineering, 2021, 18(10): 35-39.

文武臣. 基于人工智能的ZPW-2000A轨道电路故障诊断方法研究[J]. 铁路通信信号工程技术, 2021, 18(10): 35-39.

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ZPW-2000A Track Circuit Fault Diagnosis Based on Artificial Intelligence

基于人工智能的ZPW-2000A轨道电路故障诊断方法研究

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