H. Hoh, Jinlong Wang, J. Pang, Justin Wei Jin Siew, P. Lau
{"title":"Metro Door System Reliability, Availability and Maintainability Analysis","authors":"H. Hoh, Jinlong Wang, J. Pang, Justin Wei Jin Siew, P. Lau","doi":"10.1109/ICIRT.2018.8641591","DOIUrl":null,"url":null,"abstract":"In many metro systems worldwide, faulty train doors are among the main causes of train faults. Train doors not closing properly, or not opening, while causing delays and customer dissatisfaction, could also lead to passengers being offloaded for the train to be repaired. An understanding of the reliability of the train doors is necessary to improve its performance. This work outlines an approach to study train door reliability, availability and maintainability. Maintenance and operational records were cleaned for reliability analysis. Life and recurrent event data analysis methods were used to determine statistical failure distributions associated with the door subsystem or its critical component failure modes. These statistical distributions were used to simulate and predict the overall door subsystem performance metrics such as availability and mean time between failures.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRT.2018.8641591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In many metro systems worldwide, faulty train doors are among the main causes of train faults. Train doors not closing properly, or not opening, while causing delays and customer dissatisfaction, could also lead to passengers being offloaded for the train to be repaired. An understanding of the reliability of the train doors is necessary to improve its performance. This work outlines an approach to study train door reliability, availability and maintainability. Maintenance and operational records were cleaned for reliability analysis. Life and recurrent event data analysis methods were used to determine statistical failure distributions associated with the door subsystem or its critical component failure modes. These statistical distributions were used to simulate and predict the overall door subsystem performance metrics such as availability and mean time between failures.