Analysis of an adaptive parameter estimation and fault detection technique

被引:0
作者
Chowdhury, FN [1 ]
Aravena, JL [1 ]
机构
[1] Univ SW Louisiana, Dept Elect & Comp Engn, Lafayette, LA 70504 USA
来源
CONTROL APPLICATIONS OF OPTIMISATION 2003 | 2003年
关键词
fault detection; parameter estimation; random walk; Kalman filter;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the probabilistic analysis of a combined parameter estimation and fault detection method. The method is applicable in situations where a plant model is not available, the plant is subject to sudden changes, and real-time parameter estimation is required. An ordinary Kalman filter, in conjunction with a three-stage decision rule for fault detection, is used to estimate an input-output model of the unknown plant. Copyright (C) 2003 IFAC.
引用
收藏
页码:9 / 14
页数:6
相关论文
共 4 条
[1]   Input-output modeling of nonlinear systems with time-varying linear models [J].
Chowdhury, FN .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45 (07) :1355-1358
[3]   Deterministic nonlinear observer-based approaches to fault diagnosis: A survey [J].
Garcia, EA ;
Frank, PM .
CONTROL ENGINEERING PRACTICE, 1997, 5 (05) :663-670
[4]  
MOSCA E, 1995, OPTIMAL PREDICTIVE A