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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346204