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机构地区:[1]兰州交通大学自动化与电气工程学院,兰州730070
出 处:《铁道标准设计》2013年第4期115-118,共4页Railway Standard Design
摘 要:铁路运输系统中各个设备的故障模式存在不同的风险水平,而传统的RCM方法进行风险分析时存在精度不高的问题。在FMEA进行定量风险分析的基础上,再通过灰色关联度方法对FMEA风险分析中的各个决策因素进行加权处理,实现了考虑各因素之间相对权重的故障模式风险分析,提高了分析的准确性。将此方法应用于铁路信号设备,以ZPW2000A无绝缘轨道电路作为实例,通过分析计算表明该方法可行有效,能为改进铁路运输系统各个设备的维修策略提供有力的科学依据。The fault models of all the equipments in railway transport system have different risk levels, but the traditional RCM method of risk analysis has some problems in precision. In this method proposed by this paper, every decisive factor in the process of FMEA risk analysis is weighted based on the FMEA quantitative risk analysis by using gray correlation method, so that the fault model risk analysis considering the relative weights of various factors can be achieved, therefore the accuracy of the analysis can be improved. This method can be used in the railway signal equipment, and in this paper, ZPW2000A uninsulated track circuit are taken as an example for risk analysis. Then the analysis and calculation results show that: this method is a feasible and effective method, and it can provide a strong scientific basis for the improvement of the maintenance strategies of various equipments in railway traffic system.
关 键 词:灰色关联度 故障风险分析 ZPW2000A无绝缘轨道电路 RCM分析 维修策略
分 类 号:U283.2[交通运输工程—交通信息工程及控制]
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