Status Assessment of the Subway Train Traction System
Deep Mining of subway fault data to establish a model for assessing the status of the traction system.Firstly,based on the fault tree of the traction system,the basic events leading to system failure are qualitatively and quantitatively analyzed,a hierarchical analysis model is established,the evaluation matrix of each level is constructed and the weight is determined,and then the gray cluster coefficient of the basic events of each module of the traction system is calculated,and the health status assessment of the system module layer is completed,and finally the fuzzy comprehensive evaluation matrix of the traction system is constructed by using the clustering coefficient of each module,and the overall health status of the traction system is evaluated by using the fuzzy comprehensive evaluation method.The results show that the traction inverter module and the traction control unit board are the weak links of the traction system on this model subway train,and should be the focus points during the maintenance and overhaul work.The assessment method comprehensively uses the fault tree-analytic hierarchy method to determine the weights,reduce the impact of human factors,and its evaluation results can provide an effective basis for the active maintenance and overhaul of the subway train traction system.
subway trainsubjective and objective combined empowermentblurred gray clusteringtraction systemstatus assessment
NETL
NSTL
万方数据
维普
