Loading…

Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm

As large, complex, highly reliable technical equipment, electric multiple units (EMUs) require long-term maintenance to ensure safety and reliability during service. Because the maintenance cost of an EMU accounts for a large proportion of its entire life-cycle cost, scientific planning of the maint...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhang, Runyu, Ma, Xiaobing, Yang, Li, Wang, Huasheng, Zhu, Qinglong
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 621
container_issue
container_start_page 615
container_title
container_volume
creator Zhang, Runyu
Ma, Xiaobing
Yang, Li
Wang, Huasheng
Zhu, Qinglong
description As large, complex, highly reliable technical equipment, electric multiple units (EMUs) require long-term maintenance to ensure safety and reliability during service. Because the maintenance cost of an EMU accounts for a large proportion of its entire life-cycle cost, scientific planning of the maintenance interval is vital to reduce maintenance cost and improve maintenance efficiency. This paper proposes a reliability modeling and evaluation approach for EMUs under multi-level maintenance scheduling, with the purpose of extending maintenance intervals and saving maintenance resources. A comprehensive reliability model is established via the mixture distribution approach; accordingly, the point estimation of the mixture distribution model is realized using the EM algorithm. The model feasibility and rationality are highlighted through an engineering case study with actual EMU failure/operational data, where the rationality of extending the maintenance interval (for Level 3 maintenance level) is demonstrated.
doi_str_mv 10.1109/ICRMS59672.2023.00115
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10712422</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10712422</ieee_id><sourcerecordid>10712422</sourcerecordid><originalsourceid>FETCH-ieee_primary_107124223</originalsourceid><addsrcrecordid>eNqFjM9OAjEYxKsJiUT3DTT5XoC1f7bs9mhwjRx6QTmTshT4TGk33a6Bt7ch3D1NZn4zQ8gLoyVjVL0uFyv9JdW85iWnXJSUMibvSKFq1QhJBVeqae7JlMtazvi84g-kGIYfSjOioqqbKTmvrEOzRYfpAjrssvMHMH4H7a9xo0kYPIR9TqB1tksRO9CjS9g7C2uPCZa-C7EPMVfzMh0taDynMVp4xyH3t-P143qp4c0dQsR0PD2Ryd64wRY3fSTPH-334nOG1tpNH_Fk4mXDaM14xbn4B_8BKS1RUg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm</title><source>IEEE Xplore All Conference Series</source><creator>Zhang, Runyu ; Ma, Xiaobing ; Yang, Li ; Wang, Huasheng ; Zhu, Qinglong</creator><creatorcontrib>Zhang, Runyu ; Ma, Xiaobing ; Yang, Li ; Wang, Huasheng ; Zhu, Qinglong</creatorcontrib><description>As large, complex, highly reliable technical equipment, electric multiple units (EMUs) require long-term maintenance to ensure safety and reliability during service. Because the maintenance cost of an EMU accounts for a large proportion of its entire life-cycle cost, scientific planning of the maintenance interval is vital to reduce maintenance cost and improve maintenance efficiency. This paper proposes a reliability modeling and evaluation approach for EMUs under multi-level maintenance scheduling, with the purpose of extending maintenance intervals and saving maintenance resources. A comprehensive reliability model is established via the mixture distribution approach; accordingly, the point estimation of the mixture distribution model is realized using the EM algorithm. The model feasibility and rationality are highlighted through an engineering case study with actual EMU failure/operational data, where the rationality of extending the maintenance interval (for Level 3 maintenance level) is demonstrated.</description><identifier>EISSN: 2575-2642</identifier><identifier>EISBN: 9798350329988</identifier><identifier>DOI: 10.1109/ICRMS59672.2023.00115</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>Buildings ; Costs ; Data models ; EM algorithm ; EMU ; Estimation ; Evaluation models ; Maintenance ; Maintenance engineering ; maintenance planning ; mixture distribution ; Planning ; reliability assessment ; Safety</subject><ispartof>2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS), 2023, p.615-621</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10712422$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10712422$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang, Runyu</creatorcontrib><creatorcontrib>Ma, Xiaobing</creatorcontrib><creatorcontrib>Yang, Li</creatorcontrib><creatorcontrib>Wang, Huasheng</creatorcontrib><creatorcontrib>Zhu, Qinglong</creatorcontrib><title>Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm</title><title>2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS)</title><addtitle>ICRMS</addtitle><description>As large, complex, highly reliable technical equipment, electric multiple units (EMUs) require long-term maintenance to ensure safety and reliability during service. Because the maintenance cost of an EMU accounts for a large proportion of its entire life-cycle cost, scientific planning of the maintenance interval is vital to reduce maintenance cost and improve maintenance efficiency. This paper proposes a reliability modeling and evaluation approach for EMUs under multi-level maintenance scheduling, with the purpose of extending maintenance intervals and saving maintenance resources. A comprehensive reliability model is established via the mixture distribution approach; accordingly, the point estimation of the mixture distribution model is realized using the EM algorithm. The model feasibility and rationality are highlighted through an engineering case study with actual EMU failure/operational data, where the rationality of extending the maintenance interval (for Level 3 maintenance level) is demonstrated.</description><subject>Buildings</subject><subject>Costs</subject><subject>Data models</subject><subject>EM algorithm</subject><subject>EMU</subject><subject>Estimation</subject><subject>Evaluation models</subject><subject>Maintenance</subject><subject>Maintenance engineering</subject><subject>maintenance planning</subject><subject>mixture distribution</subject><subject>Planning</subject><subject>reliability assessment</subject><subject>Safety</subject><issn>2575-2642</issn><isbn>9798350329988</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNqFjM9OAjEYxKsJiUT3DTT5XoC1f7bs9mhwjRx6QTmTshT4TGk33a6Bt7ch3D1NZn4zQ8gLoyVjVL0uFyv9JdW85iWnXJSUMibvSKFq1QhJBVeqae7JlMtazvi84g-kGIYfSjOioqqbKTmvrEOzRYfpAjrssvMHMH4H7a9xo0kYPIR9TqB1tksRO9CjS9g7C2uPCZa-C7EPMVfzMh0taDynMVp4xyH3t-P143qp4c0dQsR0PD2Ryd64wRY3fSTPH-334nOG1tpNH_Fk4mXDaM14xbn4B_8BKS1RUg</recordid><startdate>20230826</startdate><enddate>20230826</enddate><creator>Zhang, Runyu</creator><creator>Ma, Xiaobing</creator><creator>Yang, Li</creator><creator>Wang, Huasheng</creator><creator>Zhu, Qinglong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20230826</creationdate><title>Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm</title><author>Zhang, Runyu ; Ma, Xiaobing ; Yang, Li ; Wang, Huasheng ; Zhu, Qinglong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_107124223</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Buildings</topic><topic>Costs</topic><topic>Data models</topic><topic>EM algorithm</topic><topic>EMU</topic><topic>Estimation</topic><topic>Evaluation models</topic><topic>Maintenance</topic><topic>Maintenance engineering</topic><topic>maintenance planning</topic><topic>mixture distribution</topic><topic>Planning</topic><topic>reliability assessment</topic><topic>Safety</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Runyu</creatorcontrib><creatorcontrib>Ma, Xiaobing</creatorcontrib><creatorcontrib>Yang, Li</creatorcontrib><creatorcontrib>Wang, Huasheng</creatorcontrib><creatorcontrib>Zhu, Qinglong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Runyu</au><au>Ma, Xiaobing</au><au>Yang, Li</au><au>Wang, Huasheng</au><au>Zhu, Qinglong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm</atitle><btitle>2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS)</btitle><stitle>ICRMS</stitle><date>2023-08-26</date><risdate>2023</risdate><spage>615</spage><epage>621</epage><pages>615-621</pages><eissn>2575-2642</eissn><eisbn>9798350329988</eisbn><coden>IEEPAD</coden><abstract>As large, complex, highly reliable technical equipment, electric multiple units (EMUs) require long-term maintenance to ensure safety and reliability during service. Because the maintenance cost of an EMU accounts for a large proportion of its entire life-cycle cost, scientific planning of the maintenance interval is vital to reduce maintenance cost and improve maintenance efficiency. This paper proposes a reliability modeling and evaluation approach for EMUs under multi-level maintenance scheduling, with the purpose of extending maintenance intervals and saving maintenance resources. A comprehensive reliability model is established via the mixture distribution approach; accordingly, the point estimation of the mixture distribution model is realized using the EM algorithm. The model feasibility and rationality are highlighted through an engineering case study with actual EMU failure/operational data, where the rationality of extending the maintenance interval (for Level 3 maintenance level) is demonstrated.</abstract><pub>IEEE</pub><doi>10.1109/ICRMS59672.2023.00115</doi></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2575-2642
ispartof 2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS), 2023, p.615-621
issn 2575-2642
language eng
recordid cdi_ieee_primary_10712422
source IEEE Xplore All Conference Series
subjects Buildings
Costs
Data models
EM algorithm
EMU
Estimation
Evaluation models
Maintenance
Maintenance engineering
maintenance planning
mixture distribution
Planning
reliability assessment
Safety
title Reliability Modeling and Evaluation of an Electric Multiple Unit Incorporating the Mixture Distribution and EM Algorithm
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T01%3A29%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Reliability%20Modeling%20and%20Evaluation%20of%20an%20Electric%20Multiple%20Unit%20Incorporating%20the%20Mixture%20Distribution%20and%20EM%20Algorithm&rft.btitle=2023%2014th%20International%20Conference%20on%20Reliability,%20Maintainability%20and%20Safety%20(ICRMS)&rft.au=Zhang,%20Runyu&rft.date=2023-08-26&rft.spage=615&rft.epage=621&rft.pages=615-621&rft.eissn=2575-2642&rft.coden=IEEPAD&rft_id=info:doi/10.1109/ICRMS59672.2023.00115&rft.eisbn=9798350329988&rft_dat=%3Cieee_CHZPO%3E10712422%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-ieee_primary_107124223%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10712422&rfr_iscdi=true