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
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