DocumentCode :
1927682
Title :
Study and Applicaion of FTA Software System
Author :
Shang, Shu-Yuan ; Liu, Li-Jun ; Xue, Shi-Jian
Author_Institution :
Beijing Inst. of Clothing Technol., Beijing
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1299
Lastpage :
1303
Abstract :
Fault tree analysis (FTA) is an effective technique to analyze the reliability of a complex system. Through selecting the reasonable top events, putting out the fault tree of the system,and carrying out quantitative analysis about the fault tree, the information of the system under study can be systematically understood. First, this paper studies how to calculate the occurrence probability of the top event and compute the importance degree of a basic event. Then this paper put forwards the realized arithmetic of FTA software system. Also, it analyzed and designed the class of fault tree, calculation module of minimal cut, graph drawing of tree, and calculation class of reliably characteristic. On the basis of the above study, the software system of Fault Tree Analysis is established. Making use of the fault tree analysis system, the reliability of the intelligent electrical apparatus is analyzed. The fault tree of intelligent electrical apparatus system is established according to its composing and the relating test data. It can find the minimal cut set, and gain the probability configuration importance degree. These studies are helpful for the reliability design of the intelligent electrical apparatus.
Keywords :
electrical engineering computing; electrical faults; fault trees; maintenance engineering; optimisation; probability; FTA software system; basic event importance degree; fault tree analysis technique; intelligent electrical apparatus system reliability; minimal cut set; optimization design; top event occurrence probability; Cybernetics; Educational institutions; Failure analysis; Fault trees; Information analysis; Logic; Machine learning; Probability; Software systems; US Department of Transportation; FTA; Reliability Calculation; Software System; System Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370345
Filename :
4370345
Link To Document :
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