Identification method of failure mechanism consistency for accelerated testing based on grey forecasting

Consistency of failure mechanism identification is one of the preconditions of correctness of accelerated testing design. The existing identification methods of failure mechanism consistency are based on data from accelerated testing which can not guide the design of accelerated testing. Therefore, the method based on data from enhancement testing is needed. The method proposed was based on grey prediction for lack of data from enhancement testing in engineering. The new identification method and flow of failure mechanism was also given. According to the combination of GM(1, 1) and equal dimension model, the change point of trend of data from enhancement testing was found, as well as the level of consistency of failure mechanism before the accelerated testing. Finally, the feasibility of the method was validated by a practical example on accelerometer.