Title :
Fuzzy probist reliability assessment of repairable systems
Author :
El-Iraki, Aly ; Odoom, Emmanuel R.
Author_Institution :
Dept. of Autom. & Marine Technol, Coll. of Technol. Studies, Surra, Kuwait
Abstract :
In conventional reliability assessment, the reliability data of system components are treated as crisp values. However, reliability analysis often makes use of uncertain data and approximate system modelling. Hence fuzzy formulation represents an effective tool for reliability analysis. This paper proposes a methodology for the reliability analysis of repairable systems using the fault tree model and triangular fuzzy numbers for the basic events data. A computer code is developed for estimating the reliability measures of the system. A numerical example illustrating the method is provided
Keywords :
fault trees; fuzzy set theory; probability; reliability theory; approximate system modelling; fault tree model; fuzzy probist reliability assessment; numerical example; repairable systems; system components; triangular fuzzy numbers; uncertain data; Automotive engineering; Educational institutions; Failure analysis; Fault trees; Fuzzy systems; Logic; Marine technology; Probability; Reliability theory; US Department of Transportation;
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
DOI :
10.1109/NAFIPS.1998.715544
