高铁接触网健康状态的熵权多信息综合评估

Comprehensive Evaluation of Health Status of High-speed Railway Catenaries Based on Entropy Weight

为了改进目前普遍采用的简单的铁路接触网检测评价方法,提出接触网健康状态的模糊综合评估模型。利用模糊数学对接触网的检测数据进行处理,采用隶属度函数评价各指标属于评判集的隶属程度;通过熵权理论挖掘检测数据中所蕴含的信息,确定各检测指标的评价权重,对接触网的健康状态进行综合评估,并对评判集的秩进行加权综合实现接触网健康值的量化。对某铁路区段实际接触网状态的评估表明:该方法可行,且评价结果更为直观。

In this paper,the comprehensive fuzzy evaluation model was established to assess the health status of catenaries.The fuzzy math was used to process the test data,and the membership function was used to indicate the degree of subj ection.The entropy theory was applied to explore the information contained in the test data to determine the evaluation weight of each test index,to evaluate the health status comprehensively and to quanti-fy the health status values by weighting the rank of j udge set.The health status evaluation of a section of the Hangzhou-Shenzhen Railway Line demonstrates the proposed method is feasible and the evaluation results are more featured by direct-view.