Title :
On the use of on-line approximators for sensor fault diagnosis
Author :
Vemuri, Arun T. ; Polycarpou, Marios M.
Author_Institution :
Dept. of Engine & Vehicle Res., Southwest Res. Inst., San Antonio, TX, USA
Abstract :
This paper describes a sensor fault diagnosis algorithm for a class of nonlinear dynamic systems. The main idea behind this approach is to monitor the closed-loop system for any off-nominal system behavior due to sensor faults utilizing a nonlinear online approximator with adjustable parameters. A nonlinear estimation model and learning algorithm are described so that the online approximator provides an estimate of the sensor fault. The robustness, stability and learning performance properties of the nonlinear sensor fault diagnosis scheme are established
Keywords :
closed loop systems; computerised monitoring; control systems; fault diagnosis; learning (artificial intelligence); nonlinear control systems; nonlinear dynamical systems; online operation; robust control; sensors; adjustable parameters; closed-loop system monitoring; learning algorithm; learning performance; nonlinear dynamic systems; nonlinear estimation model; nonlinear online approximator; nonlinear sensor fault diagnosis scheme; robustness; sensor fault estimation; stability; Condition monitoring; Fault detection; Fault diagnosis; Mathematical model; Nonlinear dynamical systems; Parameter estimation; Robust stability; Sensor phenomena and characterization; Sensor systems; Systems engineering and theory;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.688378
