DocumentCode :
2727684
Title :
Model-based, multiple fault diagnosis of time-varying, continuous physical devices
Author :
Ng, Hwee Tou
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
fYear :
1990
fDate :
5-9 May 1990
Firstpage :
9
Abstract :
A model-based approach to diagnosing time-varying continuous physical devices is presented. It is capable of detecting multiple faults. The diagnosis algorithm represents an extension of R. Reiter´s (Artificial Intelligence, vol.32, p.57-95, 1987) algorithm to handle physical devices whose behavior varies continuously over time. The continuously changing states of a physical device are modeled by a discrete set of qualitative simulation (QSIM) states over time and its behavior is governed by a set of QSIM constraints. A prototype system that correctly diagnosed a double fault present in a proportional-control heater/cooler has been developed. The feasibility of extending Reiter´s algorithm to diagnose these physical devices is demonstrated
Keywords :
failure analysis; heat systems; proportional control; simulation; time-varying systems; Reiter´s algorithm; constraints; continuously changing states; model-based approach; multiple fault diagnosis; proportional-control heater/cooler; qualitative simulation; time-varying continuous physical devices; Artificial intelligence; Circuit faults; Control systems; Fault detection; Fault diagnosis; Physics computing; Predictive models; Proportional control; Prototypes; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence Applications, 1990., Sixth Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-2032-3
Type :
conf
DOI :
10.1109/CAIA.1990.89165
Filename :
89165
Link To Document :
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