DocumentCode
433786
Title
Probability measure on regular languages and its application in fault diagnosis for discrete event systems
Author
Su, Rong ; Wonham, W.M.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume
1
fYear
2004
fDate
20-23 July 2004
Firstpage
412
Abstract
In fault diagnosis for discrete event systems, it is very common that a diagnosis result may contain several fault candidates because of the insufficient number of sensors in the system. In this paper we discuss how to construct a probability space over a regular language and perform probabilistic reasoning to reduce diagnostic ambiguity.
Keywords
discrete event systems; fault diagnosis; inference mechanisms; discrete event system; fault candidates; fault diagnosis; probabilistic reasoning; probability measure; Automata; Control systems; Discrete event systems; Extraterrestrial measurements; Fault diagnosis; Hidden Markov models; Performance evaluation; Reliability engineering; Sensor systems; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2004. 5th Asian
Conference_Location
Melbourne, Victoria, Australia
Print_ISBN
0-7803-8873-9
Type
conf
Filename
1425988
Link To Document