@inproceedings{34b6fed685a74cf18e2e323025bdd417,
title = "Neural networks-based fault detection and isolation of nonlinear systems",
abstract = "This paper presents a fault diagnosis method using neural network-based multi-fault models and statistical method to detect and isolate faults in nonlinear systems. In the proposed method, the fault is detected when the errors between the system output and the neural network nominal system output cross a predetermined threshold. 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 = "Fault detection, Isolation, Neural network, Nonlinear system, Statistical method",
author = "Lee, \{I. S.\} and Kim, \{J. T.\} and Lee, \{J. W.\} and Lee, \{Y. J.\} and Kim, \{K. Y.\}",
year = "2003",
language = "English",
isbn = "0889863474",
series = "Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence",
pages = "142--147",
editor = "O. Coastillo",
booktitle = "Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence",
note = "Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence ; Conference date: 19-05-2003 Through 21-05-2003",
}