Detection and diagnosis of sensor and actuator failures using perception net

In a modern engineering system, failures of its actuator or sensor need to be detected and isolated as soon and as accurately as possible. Many researches have been performed for fault detection and diagnosis (FDD) of dynamic systems. In recent researches, it is shown that the interacting multiple model (IMM) algorithm is successfully employed to cope with it. The algorithm proposed in this paper is another approach to deal with FDD using the IMM algorithm, and it is accomplished by using the error monitoring method provided by perception net which was proposed for the effective data fusion in multisensor environment. Simulation results for total actuator failures are demonstrated by Monte-Carlo simulations.