DocumentCode
3534498
Title
Active diagnosis for a class of switched systems
Author
Van Gorp, Jeremy ; Giua, Alessandro ; Defoort, M. ; Djemai, M.
Author_Institution
Univ. Lille Nord de France, Lille, France
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
5003
Lastpage
5008
Abstract
This paper deals with active diagnosis for a class of switched systems which may not satisfy the classical diagnosability conditions. A Mealy Machine modeling is used to define an appropriate diagnoser which reduces the uncertain state subset. An algorithm combining the proposed diagnoser and a testing procedure is introduced to solve the fault identification problem. A study on the multicellular converter is carried out to detect and isolate faulty cells. Simulation results show the effectiveness of the proposed scheme.
Keywords
fault diagnosis; finite state machines; time-varying systems; Mealy machine modeling; active diagnosis; fault identification problem; faulty cell detection; faulty cell isolation; multicellular converter; switched systems; testing procedure; uncertain state subset; Automata; Fault diagnosis; Integrated circuits; Switched systems; Switches; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760674
Filename
6760674
Link To Document