Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive

In view of the difficulties and poor efficiency of manual troubleshooting of locomotive faults, this paper proposed a method for correlative analyses of traction converter faults and train level faults. The method is based on a fault diagnosis model that utilizes the expert knowledge of locomotive f...

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Main Author: GAO Yongqiang
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2020-01-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.03.020
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author GAO Yongqiang
author_facet GAO Yongqiang
author_sort GAO Yongqiang
collection DOAJ
description In view of the difficulties and poor efficiency of manual troubleshooting of locomotive faults, this paper proposed a method for correlative analyses of traction converter faults and train level faults. The method is based on a fault diagnosis model that utilizes the expert knowledge of locomotive fault diagnosis and can realize intelligent diagnosis of locomotive faults. The fault diagnosis expert system of Shenhua electric locomotive traction converter and other subsystems is implemented. Experimental results show that the accuracy of fault diagnosis for the key systems and components of Shenhua electric locomotive can reach 90%, which meets the requirements of intelligent operation and maintenance of railway.
format Article
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institution Kabale University
issn 2096-5427
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record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-8c5c48d2b96c4e7f85b9533d346fd4182025-08-25T06:50:19ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272020-01-01379710282324675Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric LocomotiveGAO YongqiangIn view of the difficulties and poor efficiency of manual troubleshooting of locomotive faults, this paper proposed a method for correlative analyses of traction converter faults and train level faults. The method is based on a fault diagnosis model that utilizes the expert knowledge of locomotive fault diagnosis and can realize intelligent diagnosis of locomotive faults. The fault diagnosis expert system of Shenhua electric locomotive traction converter and other subsystems is implemented. Experimental results show that the accuracy of fault diagnosis for the key systems and components of Shenhua electric locomotive can reach 90%, which meets the requirements of intelligent operation and maintenance of railway.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.03.020real-time monitoringdata transmissiondata collectionfault diagnosiscorrelation analysistraction converter
spellingShingle GAO Yongqiang
Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive
Kongzhi Yu Xinxi Jishu
real-time monitoring
data transmission
data collection
fault diagnosis
correlation analysis
traction converter
title Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive
title_full Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive
title_fullStr Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive
title_full_unstemmed Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive
title_short Fault Diagnosis Expert System for Critical Systems and Components of “Shenhua” Electric Locomotive
title_sort fault diagnosis expert system for critical systems and components of shenhua electric locomotive
topic real-time monitoring
data transmission
data collection
fault diagnosis
correlation analysis
traction converter
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.03.020
work_keys_str_mv AT gaoyongqiang faultdiagnosisexpertsystemforcriticalsystemsandcomponentsofshenhuaelectriclocomotive