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
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;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2013 13th International Conference on
Conference_Location :
Bangi
Print_ISBN :
978-1-4799-3515-4
DOI :
10.1109/ISDA.2013.6920704
