Title :
Detection and diagnosis of sensor and actuator failures using perception net
Author :
Choi, Jae Weon ; Fang, Tae Hyun ; Lee, Man Hyung
Author_Institution :
Pusan Nat. Univ., South Korea
Abstract :
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
Keywords :
actuators; aircraft instrumentation; fault diagnosis; sensor fusion; sensors; FDD; IMM algorithm; Monte-Carlo simulations; actuator failure detection; actuator failure diagnosis; data fusion; error monitoring method; interacting multiple model algorithm; multisensor environment; perception net; sensor failure detection; sensor failure diagnosis; Actuators; Condition monitoring; Data mining; Fault detection; Fault diagnosis; Filters; Mechanical sensors; Predictive models; Sensor systems; State estimation;
Conference_Titel :
SICE Annual, 1999. 38th Annual Conference Proceedings of the
Conference_Location :
Morioka
Print_ISBN :
4-907764-13-8
DOI :
10.1109/SICE.1999.788667
