{"title":"Research on reliability evaluation method of catenary of high speed railway considering weather condition","authors":"Zhen Wang, D. Feng, Sheng Lin, Zhengyou He","doi":"10.1109/PMAPS.2016.7764080","DOIUrl":null,"url":null,"abstract":"Weather condition has a great influence on the reliability assessment of the high-speed railway catenary system. This paper proposes a reliability assessment method for high-speed railway catenary system considering weather conditions. The weather condition is classified according to IEEE standard, and the failure rate model of catenary component is built under three weather conditions. Then the failure rate and repair rate under different weather conditions are considered as random fuzzy variables. Credibility theory is applied to evaluate the influence of uncertainties on the reliability assessment of catenary system. Finally, fault tree analysis method is introduced to calculate the reliability indices of the catenary system. Case study shows the proposed method achieves reliability assessment for catenary of high-speed railway system considering the influence of weather conditions, and the reliability indices under different weather conditions are obtained.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS.2016.7764080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Weather condition has a great influence on the reliability assessment of the high-speed railway catenary system. This paper proposes a reliability assessment method for high-speed railway catenary system considering weather conditions. The weather condition is classified according to IEEE standard, and the failure rate model of catenary component is built under three weather conditions. Then the failure rate and repair rate under different weather conditions are considered as random fuzzy variables. Credibility theory is applied to evaluate the influence of uncertainties on the reliability assessment of catenary system. Finally, fault tree analysis method is introduced to calculate the reliability indices of the catenary system. Case study shows the proposed method achieves reliability assessment for catenary of high-speed railway system considering the influence of weather conditions, and the reliability indices under different weather conditions are obtained.
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