DocumentCode
335435
Title
An on-line approximation approach to fault diagnosis and accommodation
Author
Polycarpou, Marios M.
Author_Institution
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Volume
2
fYear
1994
fDate
29 June-1 July 1994
Firstpage
1722
Abstract
This paper presents a methodology for constructing automated fault diagnosis and accommodation architectures using on-line approximators and adaptation/learning schemes. Changes in the system dynamics are monitored by an on-line approximation model, which is used not only for detection but also for accommodation of any failures. A systematic procedure for constructing nonlinear estimation algorithms and stable learning schemes is developed, and simulation studies are used to illustrate the results.
Keywords
fault diagnosis; learning (artificial intelligence); nonlinear dynamical systems; redundancy; reliability theory; adaptation/learning schemes; fault accommodation; fault diagnosis; nonlinear estimation algorithms; online approximation approach; stable learning schemes; Aircraft propulsion; Costs; Fault diagnosis; Hardware; Neural networks; Physics computing; Power engineering and energy; Redundancy; Reliability engineering; Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.752366
Filename
752366
Link To Document