Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm

In order to improve the prediction accuracy of wheel set failure rate of urban rail trains, the artificial neural network method was used to replace the empirical expression of failure rate distribution in the traditional maintenance strategy model to avoid the manaul selection of fault distribution...

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Main Authors: HE Deqiang, SUN Yi, MENG Jiwei, LIU Jianren
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2019-01-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.012
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author HE Deqiang
SUN Yi
MENG Jiwei
LIU Jianren
author_facet HE Deqiang
SUN Yi
MENG Jiwei
LIU Jianren
author_sort HE Deqiang
collection DOAJ
description In order to improve the prediction accuracy of wheel set failure rate of urban rail trains, the artificial neural network method was used to replace the empirical expression of failure rate distribution in the traditional maintenance strategy model to avoid the manaul selection of fault distribution models. The IPSO-BP (improved particle swarm optimization-back propagation) prediction model was established and compared with the conventional BP (back propagation) and PSO-BP (particle swarm optimization-back propagation) prediction model. Comparisons are made to verify its efficiency. The simulation results show that the prediction error range of IPSO-BP neural network model is 0~5.5%, and the relative error percentage of output value is 0~10%. The prediction accuracy of IPSO-BP neural network model is better than that of conventional methods, which can provide theoretical reference and methodological support for preventive maintenance decision-making.
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institution Kabale University
issn 2096-5427
language zho
publishDate 2019-01-01
publisher Editorial Office of Control and Information Technology
record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-d507c6eaefec4c73b0ec2bb32fcb31ae2025-08-25T06:57:00ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272019-01-0136596382328891Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP AlgorithmHE DeqiangSUN YiMENG JiweiLIU JianrenIn order to improve the prediction accuracy of wheel set failure rate of urban rail trains, the artificial neural network method was used to replace the empirical expression of failure rate distribution in the traditional maintenance strategy model to avoid the manaul selection of fault distribution models. The IPSO-BP (improved particle swarm optimization-back propagation) prediction model was established and compared with the conventional BP (back propagation) and PSO-BP (particle swarm optimization-back propagation) prediction model. Comparisons are made to verify its efficiency. The simulation results show that the prediction error range of IPSO-BP neural network model is 0~5.5%, and the relative error percentage of output value is 0~10%. The prediction accuracy of IPSO-BP neural network model is better than that of conventional methods, which can provide theoretical reference and methodological support for preventive maintenance decision-making.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.012failure rate predictionIPSO-BP algorithmneural networkurban rail vehiclewheel setmaintenance strategy
spellingShingle HE Deqiang
SUN Yi
MENG Jiwei
LIU Jianren
Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
Kongzhi Yu Xinxi Jishu
failure rate prediction
IPSO-BP algorithm
neural network
urban rail vehicle
wheel set
maintenance strategy
title Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
title_full Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
title_fullStr Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
title_full_unstemmed Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
title_short Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm
title_sort research on the prediction model of wheel set failure rate for urban rail trains based on ipso bp algorithm
topic failure rate prediction
IPSO-BP algorithm
neural network
urban rail vehicle
wheel set
maintenance strategy
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.012
work_keys_str_mv AT hedeqiang researchonthepredictionmodelofwheelsetfailurerateforurbanrailtrainsbasedonipsobpalgorithm
AT sunyi researchonthepredictionmodelofwheelsetfailurerateforurbanrailtrainsbasedonipsobpalgorithm
AT mengjiwei researchonthepredictionmodelofwheelsetfailurerateforurbanrailtrainsbasedonipsobpalgorithm
AT liujianren researchonthepredictionmodelofwheelsetfailurerateforurbanrailtrainsbasedonipsobpalgorithm