Fast Sensor Fault Diagnosis Method Based on CA-CMAC

For the problem of fault diagnosis in dynamic system,a principal component analysis model based on credit assigned cerebellar model articulation controller is proposed to carry out on-line fault detection and isolation for multiple sensor system.Firstly,the forecasting values of sensors are available from historical data measured in fault-free condition based on principal component analysis model.Secondly,the Squared Prediction Error of the system is calculated,the fault occurred when the SPE is suddenly increased.Sensor values are reconstructed respectively to newly calculate the SPE to locate the faulty sensor.Finally,Compared to BP and CMAC,the method proposed is proved feasible and effective by a simulation of multiple sensor fault diagnosis.