Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2001.06e
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- Pages.115-118
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- 2001
Fault Diagnosis of the Nonlinear Systems Using Neural Network-Based Multi-Fault Models
신경회로망기반 다중고장모델에 의한 비선형시스템의 고장진단
Abstract
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.
Keywords