| With the rapid development of rail transit,the number of subway riders has increased rapidly,and it has become the most popular mode of transportation in large and medium-sized cities.From the 13 th to the 14 th Five-Year Plan,the country has been strongly advocating green travel,public travel initiatives.Transportation safety is about you and me,and as the number one choice for travel in large and medium-sized cities,it is even more important to ensure safe and efficient operation times.Based on the structure of subway vehicle system,this paper analyzes the reliability of key system of door and bogie and optimizes the maintenance strategy,which is also a fundamental measure to ensure the safe operation of subway vehicle.In this paper,after investigating the data of vehicle malfunction and the maintenance rules of a domestic metro company line 1,the fault distribution,equipment reliability and time interval of the key system of metro vehicle are studied in detail,and the two aspects of maintenance cycle and maintenance strategy are optimized.First of all,the paper collects and collates the domestic and international practice of subway vehicle reliability as well as the overhauling strategies of more mature subway companies operating in various regions.The advantages and disadvantages of subway vehicle repair strategy are compared and analyzed.The theoretical method of reliability analysis is expounded in detail.Secondly,the fault data report obtained by the subway depot research is classified and counted by EXCEL rapid analysis tool,the proportion of fault sample of each system is sorted out,and the key systems related to the reliability of subway vehicles are determined.It is easy to quickly understand the distribution laws in text time and space by text semantic analysis of the fault samples of key systems,to dig up the intrinsic relationship between text,to obtain the list of fault modes of vehicle door system by using fault mode and impact analysis(FMEA),and to determine the fault distribution model of vehicle key subsystem by using Minitab statistical software to obtain its reliability index function.Thirdly,a prediction model based on Transformer neural network is established to predict the time interval of door system failure.By using Gaussian noise to enlarge the training data,the problem caused by insufficient data is solved,and the failure time of the door system is predicted scientifically.The model predicts a single fault interval error of less than 20% and cumulative fault interval error of less than 5%,which is much higher than the previous model.Finally,based on the influence of maintenance strategy on fault probability and operational reliability,the optimization model of maintenance strategy is put forward,and the maintenance strategy and maintenance cycle are solved.Analytic Hierarchy Process(AHP)is combined with fuzzy theory,the advantages of both methods are brought into play,qualitative analysis is combined with quantitative analysis,and it is applied to the decision-making of vehicle maintenance strategy.The model of vehicle equipment maintenance mode is established,and the maintenance mode of bogie system is made,and the optimal maintenance strategy of bogie system gear box is obtained.Taking validity,reliability and economy as evaluation indexes,the maintenance cycle model is established by using multi-objective fuzzy theory,and the optimal maintenance cycle of the door controller is solved according to the weight value.It provides some suggestions for the adjustment of the cycle of subway vehicle maintenance and has clear guiding significance. |
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