Reliability Design For Driver Console Of Railway Vehicles

Due to the advantages of high speed,large capacity,energy saving and environmental protection,railway vehicles have become more and more important in daily life.In 2018,the 19 th CPC National Congress of the Party and the Central Economic Work Conference launched "Powerful Transportation Country,Railway First".With the continuous improvement of the production quality requirements of the railway vehicle industry,the reliability of the traditional railway vehicles has gradually failed to meet the needs of the market.Therefore,how to further improve the reliability of railway vehicles has become a research hotspot.The driver console is the control center of the whole vehicle,and is the key equipment to drive the locomotive.The reliability of the driver console not only affects the punctuality and safety of the locomotive,but also affects the locomotive maintenance cost.Therefore,it is very meaningful to consider the reliability evaluation problems of the driver console in rail vehicle,and reliability design is an important means and method to improve reliability.In this paper,with supported in part by the Science and Technology Planning Project of Jilin Province,“Research on Key Technology of driver Control system in railway vehicles”,the reliability design for driver console is studied.First of all,the structure of the driver console is analyzed.The reliability model of driver console based on reliability block diagram is established.According to the “Handbook on Reliability Prediction of Electronic Equipment” and the wiring diagram of driver console,the failure rate,mean free error time and the reliability are obtained.Furthermore,the key factors--micro switches affecting the reliability of the driver console are found out.According to the results of quantitative analysis,some suggestions are put forward such as life prediction method,modification of element model and so on.The reliability analysis in this paper provides an important theoretical basis for the reliability design and maintenance decision of the driver console.Secondly,a method based on stochastic degradation process is proposed for remaining useful life estimation of driver console.The exponential model with multiplicative random error term is established,the Bayesian and EM algorithms are used to estimate the model parameters so that the computation process of this algorithm is independent of the same type historical data.In order to solve the problem that the existing methods can not estimate the remaining useful life accurately when the degradation data are unstable,the residual data is fused based on the strong tracking filtering algorithm to ensure the prediction accuracy.Moreover,the strong tracking filtering is robust to initial parameters setting.Even if the initial parameters are not correctly,our approach can still have a tracking ability for the predicted values.Furthermore,the micro switches life test rig is built and the degradation data of the micro switches are obtained.The effectiveness of the proposed method is verified based on the degradation data of a micro switch.Finally,the reliability scheme design of the driver console is carried out.From the point of view of optimal maintenance,the age-based replacement strategy is used to determine the optimal replacement time for key components of the driver console.The optimal maintenance decision scheme is obtained based on the life prediction results of components,which saves maintenance costs and ensures the reliability of the driver console.Furthermore,the optimal maintenance software of micro switches is compiled according to the algorithm of optimal maintenance decision.From the point of view of product design,the selection method of components,the implementation method of redundant design and the exploration of vibration absorption scheme are given.The validity of the proposed method is verified by experiments and practical application,which provides a reference for the reliability design of other mechanical and electrical products.