Robust fault detection in linear systems based on full-order state observers

2007 ◽  
Vol 5 (4) ◽  
pp. 325-330 ◽  
Author(s):  
Aiguo Wu ◽  
Guangren Duan
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
State Observers ◽  
Robust Fault Detection ◽  
Order State

Robust fault detection of uncertain linear systems via quasi-LMIs

Automatica ◽  
2008 ◽  
Vol 44 (1) ◽  
pp. 289-295 ◽  
Author(s):  
Alessandro Casavola ◽  
Domenico Famularo ◽  
Giuseppe Franzè
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
Robust Fault Detection ◽  
Uncertain Linear Systems

scholarly journals Neurofuzzy Approach to Fault Detection of Nonlinear Systems

1999 ◽  
Vol 3 (6) ◽  
pp. 524-531
Author(s):  
Jinglu Hu ◽  
◽  
Kotaro Hirasawa ◽  
Kousuke Kumamaru ◽  
Keyword(s):  
Nonlinear Systems ◽  
Fault Detection ◽  
Linear Systems ◽  
Linear Model ◽  
Basis Function ◽  
Linear Models ◽  
Detection Method ◽  
Local Model ◽  
Model Based ◽  
Robust Fault Detection

This paper proposes a neurofuzzy approach to fault detection in linear systems. The system diagnosed is described by using a neurofuzzy model called LimNet that consists of a linear model and multiple local linear models with interpolation of a "fuzzy basis function". Fault detection is considered in two cases: when faults occur in the linear model part, a KDI-based robust fault detection is applied, where a multi-local-model part is treated as error due to nonlinear undermodeling; when faults occur in the multi-local-model part, a multi-model based fault detection method is developed, in which the identified LimNet is interpreted as several local ARMAX models, and KDI is used as an index to discriminate between each local model and its reference. This paper mainly concentrates discussions on multi-model based fault detection.

Timely robust fault detection for multirate linear systems

2002 ◽  
Vol 75 (5) ◽  
pp. 305-313 ◽  
Author(s):  
M. S. Fadali ◽  
H. E. Emara-Shabaik
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
Robust Fault Detection
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