中国机械工程2018，Vol.29Issue(3)：279-285,7.DOI:10.3969/j.issn.1004-132X.2018.03.005
基于改进人工蜂群算法的机车车辆关键零部件可靠性研究
Research on Reliability of Key Parts of Locomotive and Rolling Stocks Based on Optimized ABC Algorithm
摘要
Abstract
According to the over-maintenance problems and inadequate maintenance problems in the operations and maintenances of locomotive and rolling stocks based on graphical method and ABC algorithm for the models of reliability of key parts of locomotive and rolling stocks,a new fitting method was proposed to established the three-parameter Weibull model by estimating the three parameters of Weibull distribution.Firstly,the initial estimates of the three-parameter Weibull parameters and the search spaces of the ABC algorithm were determined by the graphical method.Then the ABC algorithm was used to obtain the optimal parameter estimation.Finally,a new fitting method was compared with the least squares method and method of probability weighted moments.The results show that this method may obtain the parameter estimation values and build the reliability analysis model of the key parts of the locomotive and rolling stocks accurately.The Weibull model may be used in determining the optimal maintenance periods and improve the maintenance procedures of locomotive and rolling stocks for maintenance personnels.关键词
机车车辆/人工蜂群算法/三参数威布尔分布/可靠性分析/检修周期Key words
locomotive and rolling stocks/artificial bee colony(ABC) algorithm/three parameters of Weibull distribution/reliability analysis/maintenance period分类
信息技术与安全科学引用本文复制引用
沈国强,贺德强,谭文举,苗剑..基于改进人工蜂群算法的机车车辆关键零部件可靠性研究[J].中国机械工程,2018,29(3):279-285,7.基金项目
国家自然科学基金资助项目(51165001) （51165001）
广西科技攻关项目(桂科攻1598009-6) （桂科攻1598009-6）
南宁市科技攻关项目(20151021) （20151021）
广西制造系统与先进制造技术重点实验主任课题(15-140-30S003) （15-140-30S003）
