Fault Detection of Nonlinear Systems by Using Hybrid Quasi-ARMAX Models

Author:

Kumamaru K.,Hu J.,Inoue K.,Söderström T.

Publisher

Elsevier BV

Subject

General Medicine

Reference9 articles.

1. Quantifying the error in estimated transfer functions with application to model order selection;Goodwin;IEEE Trans on Automatic Control,1992

2. Research on Hybrid Black-Box Modeling for Nonlinear Systems and Its Applications;Hu,1997

3. A hybrid quasi-ARMAX modeling scheme for identification and control of nonlinear systems;Hu,1996

4. Fault detection and model validation using index of Kullback discrimination information (in Japanese);Kumamaru;Trans. of the Society of Instrument and control Engineers,1986

5. Robust fault detection using index of Kullback discrimination infomation;Kumamaru,1996

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Quasi-ARMAX approach to modelling of non-linear systems;International Journal of Control;2001-01

2. A Fault Detection Method for Nonlinear Black-Box Systems Based on Multi-ARMAX Modeling;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;2000-05-05

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