DocumentCode :
1769256
Title :
Non-intrusive polynomial chaos based mechanism reliability sensitivity analysis
Author :
Shaohua Du ; Jianbin Guo ; Zitan Zhao ; Shengkui Zeng
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
fYear :
2014
fDate :
24-27 Aug. 2014
Firstpage :
515
Lastpage :
519
Abstract :
Reliability Sensitivity Analysis aims at quantifying the influence of the change of the uncertain model inputs on the model reliability. The reliability sensitivity measures which are calculated through reliability sensitivity analysis will help a lot because they are used to identify the importance of the statistical characteristics of the uncertain parameters e.g. means, standard deviations, etc. In this paper, a new method is proposed for reliability sensitivity analysis of the mechanism. An airborne retractable mechanism is used to test our new method. Good agreement is observed between the results from the proposed method and the results calculated based on a large number of Monte Carlo simulations, which proves that the proposed method is applicable and efficient for the engineering cases.
Keywords :
Monte Carlo methods; mechanical engineering; polynomials; reliability theory; sensitivity analysis; Monte Carlo simulations; airborne retractable mechanism; engineering cases; model reliability; nonintrusive polynomial chaos; reliability sensitivity analysis; reliability sensitivity measures; statistical characteristics; Computational modeling; Polynomials; Reliability engineering; Sensitivity analysis; Standards; polynomial chaos expansion; reliability; sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
Type :
conf
DOI :
10.1109/PHM.2014.6988226
Filename :
6988226
Link To Document :
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