Statistical reliability mapping of vehicle systems for predictive maintenance planning

During operation, failures in the vehicle, its systems, and parts occur due to wear, fatigue, or other accidental causes. Predicting such situations, performing ongoing vehicle maintenance, and timely replacing their parts are pressing issues. The article presents experiments on creating a reliability map by processing accumulated operational data on the reliability of vehicle units and systems, and on its application to solving engineering problems in the technical operation of vehicles. In particular, the issues of identifying parts that have a sharp impact on the reliability of the unit or system and determining the resources before the first replacement and between replacements and the laws of their distribution, determining the service life of parts that have a sharp impact on reliability, corresponding to a given probability of failure-free operation, compiling a reliability map for the controlled unit or system are highlighted. In this case, the resources of the parts before replacement were calculated according to the Weibull-Gnedenko, Exponential, and Normal distribution laws.

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