A Fault Detection Method for Nonlinear Black-Box Systems Based on Multi-ARMAX Modeling-Reference-Cited by-同舟云学术

A Fault Detection Method for Nonlinear Black-Box Systems Based on Multi-ARMAX Modeling

Published:2000-05-05 Issue:0 Volume:2000 Page:67-72
ISSN:2188-4730
Container-title:Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
language:en
Short-container-title:Stochastic Systems Theory and its Applications (SSS)

Author:

Kumamaru Kousuke¹,Hu Jinglu²,Furukawa Seiji¹,Inoue Katsuhiro¹

Affiliation:

1. Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology

2. Graduate School of Information Science and Electrical Engineering, Kyushu University

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/sss/2000/0/2000_67/_pdf

Reference5 articles.

1. [1] L.Ljung and T.Soderstrom:Theory and Practice of Recursive Identification. MIT press, Cambridge, Mass. (1983)

2. [2] K.Kumanaru and T.Soderstrom: Fault detection and model validation using index of Kullback discrimination information (in Japanese). Trans. of the Society of Instrument and Control Eng., 22-10, 1135/1140(1986).

3. [3] K.kumamaru,J.Hu,K.Inoue and T.Soderstrom: Fault detection of nonlinear systems by using hybrid Quasi-ARMAX models. Proc. of SAFEPROCESS'97, 1125/1130(1997).

4. [4] J.Hu, K.kumamaru, K.Inoue and K.Hirasawa: A Hybrid Quasi-ARMAX modeling scheme for identification of nonlinear systems. Trans. of the Society of Instrument and Control Eng., 34-8, 977/985(1998).

5. [5] J.Hu, K.Kumamaru, K.Inoue and K.Hirasawa: KDI-based robust fault detection in presence of nonlinear undermodeling.Trans. of the Society of Instrument and Control Eng., 35-2,200/207(1999).

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