DocumentCode :
1933090
Title :
Fault detection and resolution based on extended time failure propagation graphs
Author :
Troiano, Luigi ; Di Cerbo, Antonio ; Tipaldi, Massimo ; Vitelli, Maria Carmela
Author_Institution :
Univ. of Sannio, Benevento, Italy
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
337
Lastpage :
342
Abstract :
FDIR functionalities are investigated since the very beginning of a space mission and play a relevant role in the definition of its autonomy, reliability and availability objectives. In this paper, an analytical methodology derived from the Timed Failure Propagation Graph (ETFPG) is proposed. TPFG is a causal model that captures the temporal aspects of failure propagation in a wide variety of engineering systems. It has been extended in order to incorporate the recovery actions as well as to accommodate the dependencies on the mission phases and spacecraft operational modes in the related graphs. The proposed methodology has proved to be very useful in the context of the trouble identification and shooting of complex system, such a satellite.
Keywords :
aerospace computing; directed graphs; fault tolerant computing; space vehicles; ETFPG; FDIR functionalities; analytical methodology; causal model; engineering systems; extended time failure propagation graphs; fault detection; fault resolution; labelled directed graph; mission phases; recovery actions; space mission; spacecraft operational modes; Availability; Cognition; Estimation; Fault detection; Satellites; Space vehicles; Telemetry; FDIR hierarchical structure; FMECA/FTA; TFPG; Temporal Logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
Conference_Location :
Hanoi
Print_ISBN :
978-1-4799-3399-0
Type :
conf
DOI :
10.1109/SOCPAR.2013.7054155
Filename :
7054155
Link To Document :
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