DocumentCode :
2991249
Title :
Fuzzy fault tree analysis of power project safety risk for the smart construction
Author :
Yang Tai-hua ; Zheng Qing-hua ; Wang Yang ; Wang Su-fang
Author_Institution :
Sch. of Econ. & Manage., Shanghai Univ. of Electr. Power, Shanghai, China
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
372
Lastpage :
376
Abstract :
All risk events of power grid usually show the complex logic relation of the factors caused by the disaster. This paper analyzed the fault reasons based on the systematology, and proposed the fuzzy fault tree model of power project in the smart construction, and distinguished the safety risk of the transmission tower collapses. It realized that the fault probability caused by the strong storm is undefined, and this paper regards the probability of the basic event as fuzzy datum, and calculated the occurrence probability of transmission tower collapses based on the fault tree logic structure analysis of intermediate and top events. The applied example shows that it is possible applicable to using the fuzzy fault tree method to analyze the safety risk of the tower collapse accidents of power project.
Keywords :
accident prevention; disasters; fault trees; fuzzy set theory; power transmission faults; power transmission protection; probability; project management; risk analysis; smart power grids; storms; fault event probability; fault reason analysis; fault tree logic structure analysis; fuzzy datum; fuzzy fault tree analysis; intermediate events; power grid risk events; power project safety risk; smart construction; storm disaster; top events; tower collapse accidents; transmission tower collapse occurrence probability; Fault trees; Poles and towers; Power transmission lines; Probability; Safety; Security; fuzzy fault tree model of power project; safety risk analysis; smart construction; strong storm disaster; transmission tower collapse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
ISSN :
2155-1847
Print_ISBN :
978-1-4673-3015-2
Type :
conf
DOI :
10.1109/ICMSE.2012.6414208
Filename :
6414208
Link To Document :
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