Generalized likelihood ratio approach for fault detection in linear dynamic stochastic systems with unknown inputs

被引：8

作者：

Keller, JY

Summerer, L

Boutayeb, M

Darouach, M

机构：

[1] CR.A.N.-E.A.R.A.L.-CNRS. U.A. 821, Université Henri Poin-caré, Cosneset Romain, 54400, Nancy I

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1996年 / 27卷 / 12期

关键词：

D O I：

10.1080/00207729608929330

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The generalized likelihood ratio (GLR) technique performs statistical tests on the innovations sequence of a Kalman filter state estimator. Using the results of these tests, sensor or actuator failures are detected and identified. In this paper, we generalize this strategy for linear dynamic stochastic systems with unknown inputs.

引用

页码：1231 / 1241

页数：11