Actuator Fault Diagnosis for Dynamic Systems with Multiple Asynchronous Sensors Using the IMM Approach

Most of the existing interacting multiple model (IMM) based fault diagnosis approaches are limited to systems with synchronous sensors. In this paper, the actuator fault diagnosis problem for dynamic systems with multiple asynchronous sensors is studied. An asynchronous IMM fusion (AIMMF) algorithm is proposed to fuse measurements from multiple asynchronous sensors without ignoring correlations between involved noises. Then, the fault diagnosis scheme is introduced based on the proposed AIMMF algorithm and an augmented Kalman filter. It can be applied to systems with arbitrary number of sensors, whose sampling rates and initial sampling times are also arbitrary. Finally, the feasibility and effectiveness of the proposed method are illustrated by a numerical simulation.