Abstract
An approach to the design of adaptive empirical multidimensional mathematical predictive models based on the results of measurements used to assess the risk of transition of technically complex products to a dangerous technical condition during production (acceptance and control) tests is proposed. The issues of verification and evaluation of the speed of adaptation of the proposed models to changing conditions and test goals are considered. As an example, we consider the process of modeling and forecasting changes in the technical conditions of high-speed internal combustion engines with forced spark ignition.
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