Title :
A fault recovery procedure based on Bayesian reasoning and decision analysis
Author :
Vitelli, Maria Carmela ; Formato, Giuseppina ; Vaccaro, Alfredo
Author_Institution :
Dept. of Eng., Univ. of Sannio, Benevento, Italy
Abstract :
System fault detection and recovery deals with a decision problem under uncertainty in which we first attempt to isolate a fault according to information we collect regarding the system behavior, and after to recovery from the failure by the application of some recovery actions. In this paper we propose a method which makes use of Bayesian networks to reason under uncertainty and decision analysis to search the best recovery action.
Keywords :
Bayes methods; decision theory; failure analysis; fault diagnosis; space research; Bayesian networks; Bayesian reasoning; aerospace systems; decision analysis; fault recovery procedure; system behavior; system fault detection; Bayes methods; Cognition; Data mining; Educational institutions; Fault detection; Probabilistic logic; Uncertainty; Bayesian reasoning; Decision analysis; FDIR; Fault detection; Fault isolation; Fault recovery;
Conference_Titel :
Metrology for Aerospace (MetroAeroSpace), 2014 IEEE
Conference_Location :
Benevento
DOI :
10.1109/MetroAeroSpace.2014.6865960
