Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第31回ISCIE「確率システム理論と応用」国際シンポジウム(1999年11月, 横浜)
A Fault Detection Method for Nonlinear Black-Box Systems Based on Multi-ARMAX Modeling
Kousuke KumamaruJinglu HuSeiji FurukawaKatsuhiro Inoue
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ジャーナル フリー

2000 年 2000 巻 p. 67-72

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This paper is concerned with a fault detection scheme to nonlinear black-box systems based on Quasi-ARMAX model [4], in which the system non-linearity is incorporated into model parameters by using nonlinear non-parametric models (NNMs). The model can be considered as a multi-ARMAX model which consists of interpolated multi local linear models weighted with basis functions used in the NNMs. The fault detection is then executed by model discrimination approach using KDI (Kallback discrimination information) as the detection index. The effectiveness of the method has been confirmed through numerical simulation studies.
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© 2000 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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