DocumentCode
2569845
Title
Diagnosis of hybrid systems: Part 1- diagnosability
Author
Mohammadi, R. ; Hashtrudi-Zad, S. ; Khorasani, K.
Author_Institution
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
3334
Lastpage
3339
Abstract
In this paper, we investigate fault diagnosis and diagnosability in hybrid systems modeled by hybrid automata. Generally, in hybrid systems, there are discrete sensors generating discrete outputs available at the discrete-event system representation of the system and continuous sensors generating continuous outputs available at the continuous dynamics. We assume that there is a bank of residual generators (using continuous sensors) designed for the continuous dynamics of the system. We present a hybrid diagnosis approach in which faults are diagnosed by integrating the information generated by the residual generators and the information at the discrete-event system representation of the system. We investigate the diagnosability of faults in the hybrid diagnosis framework.
Keywords
automata theory; discrete event systems; fault diagnosis; sensors; continuous dynamics; continuous sensor; diagnosability method; discrete sensor; discrete-event system representation; fault diagnosis; hybrid automata; hybrid system; residual generator; Automata; Cybernetics; Discrete event systems; Engines; Fault diagnosis; Fuels; Hybrid power systems; Sensor systems; Temperature sensors; Turbines; Fault diagnosis; diagnosability; finite-state automata; hybrid systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346204
Filename
5346204
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