Fault Diagnosis of the Nonlinear Systems Using Neural Network-Based Multi-Fault Models

신경회로망기반 다중고장모델에 의한 비선형시스템의 고장진단

In this paper we propose an FDI(fault detection and isolation) algorithm using neural network-based multi-fault models to detect and isolate single faults in nonlinear systems. When a change in the system occurs, the errors between the system output and the neural network nominal system output cross a threshold, and once a fault in the system is detected, the fault classifier statistically isolates the fault by using the error between each neural network-based fault model output and the system output.