DocumentCode
1593248
Title
Fault identification by incomplete, asynchronous and partially unforeseen events
Author
Troiano, Luigi ; Vitelli, Maria Carmela
Author_Institution
Dept. of Eng., Univ. of Sannio, Benevento, Italy
fYear
2013
Firstpage
377
Lastpage
382
Abstract
Fault identification represents the preliminary step in solving or preventing a failure in reliable systems. The identification passes through the recording and analysis of events used as probes of underlying fault. Sometimes those events are incomplete, they can have in any order and novel in part. In this paper we propose a model based on Bayesian reasoning as means to isolate compatible faults.
Keywords
belief networks; fault diagnosis; system recovery; Bayesian reasoning; asynchronous events; event analysis; event recording; failure prevention; fault identification; incomplete events; partially unforeseen events; reliable systems; Bayes methods; Bayesian networks; Bayesian reasoning; FDIR; Fault detection; Fault isolation; Fault recovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2013 13th International Conference on
Conference_Location
Bangi
Print_ISBN
978-1-4799-3515-4
Type
conf
DOI
10.1109/ISDA.2013.6920704
Filename
6920704
Link To Document