Abstract: A computer includes a processor and a memory storing instructions executable by the processor to generate an operation parameter histogram for each of a plurality of vehicle operation parameters, operate a test vehicle according to the operation parameter histograms, input each operation parameter histogram and a plurality of test vehicle environment data to a machine learning program, output from the machine learning program a classification for each operation parameter histogram from the machine learning program, input the classifications to a predictive damage model of a three-dimensional schematic of a vehicle component, and adjust one of a size or a shape of the three-dimensional schematic based the output of the predictive damage model. The operation parameter histograms are based on collected data about operation of a plurality of vehicles. Each operation parameter histogram includes an array of elements.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to generate an operation parameter histogram for each of a plurality of vehicle operation parameters, operate a test vehicle according to the operation parameter histograms, input each operation parameter histogram and a plurality of test vehicle environment data to a machine learning program, output from the machine learning program a classification for each operation parameter histogram from the machine learning program, input the classifications to a predictive damage model of a three-dimensional schematic of a vehicle component, and adjust one of a size or a shape of the three-dimensional schematic based the output of the predictive damage model. The operation parameter histograms are based on collected data about operation of a plurality of vehicles. Each operation parameter histogram includes an array of elements.