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.