Abstract
The article describes a prognostic approach to estimating the remaining useful lifetime of cars and trucks based on the known monitoring data. The algorithm for the calculation of remaining useful lifetime uses the information about the technical state of the vehicles obtained from sensors of onboard measuring system. The remaining useful lifetime prediction is based on the comparison of the current technical state of a vehicle with the expected state which is determined by the mathematical model of wear for given mileage. The result of the comparison is used for the evaluation of the operation conditions that allows predicting the remaining useful lifetime of vehicle. The proposed approach is well suited to be integrated into onboard automobile equipment and may be applicable to a wide variety of automotive, aircrafts and similar industries.
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