DocumentCode :
3252478
Title :
Unreliability tracing technique for system components based on the fault tree analysis
Author :
Cao, Kan ; Xie, Kaigui ; Hu, Bo
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
fYear :
2010
fDate :
14-17 June 2010
Firstpage :
503
Lastpage :
508
Abstract :
A new method is developed for tracing the unreliability contributions of system components and recognizing the system weak parts using the fault tree analysis (FTA). The method is based on the minimum cut set (MCS) algorithm for evaluating the system reliability using the FTA and the proportional sharing principle (PSP). The fault tree can be expressed as MCSs and the system unreliability can be mathematically expressed by a certain terms of probability of occurrence of MCSs. A unreliability tracing (UT) principle is proposed for allocating the probability of each term to the basic events fairly and reasonably, and then the direct contribution relationship between the system unreliability and basic events can be established. The system UT sharing factors (UTSFs) are derived to easily identify the weakness parts in a system. The applicability of the proposed methods is illustrated by case studies of a simple system and a multiple-output power distribution system.
Keywords :
fault trees; power distribution reliability; fault tree analysis; minimum cut set algorithm; multiple output power distribution system; proportional sharing principle; unreliability tracing technique; Complex networks; Fault trees; Laboratories; Logic gates; Power distribution; Power system reliability; Power system security; Power transmission; Sensitivity analysis; US Department of Transportation; fault tree; minimal cut set; proportional sharing principle; recognizing system weak part; tracing the unreliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
Type :
conf
DOI :
10.1109/PMAPS.2010.5528944
Filename :
5528944
Link To Document :
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