Real-time evaluation method for stability of fault prognostic algorithm

An evaluation method of fault prognostic algorithm from the perspective of stability was proposed for the existing evaluation metrics for fault prognostic algorithm were subjected to the actual remaining useful life. Based on studying upon the health degradation process of the system under test, according to the prognostic value of remaining useful life and the value of consumed life, the performance of fault prognostic algorithm could be assessed by calculating the coefficient of variance of the fictitious life before system failed. To verify the proposed method, the stability of recursive least squares algorithm and particle filtering algorithm was assessed with simulated data generated by the fault progression model of electro-mechanical actuator. Simulation results indicate that the proposed algorithm can arrive at the same evaluation conclusion as the existing methods which need the ideal value of remaining useful life of the system under test.