文章基本信息

标题：Reliability Modeling and Assessment of Electric Vehicle Motor Using Fault Tree and Fuzzy Petri Nets
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作者：Bing Wang ; Yanping Liang ; Chaojun Yang 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：8
页码：121-136
出版社：SERSC
摘要：Performing reliability analysis of electric vehicle motor has an important impact on its safety. To do so, this paper proposes its reliability modeling and evaluation issues of electric vehicle motor by using fault tree (FT) and fuzzy Petri nets (FPN). Based on the concepts of FT and FPN, a FT based FPN model for reliability analysis is obtained. In addition, the reliability calculation method is introduced and this work designs a hybrid intelligent algorithm integrating fuzzy simulation and NN, namely NN based simulation algorithm, to solve it. Finally, taking an electric vehicle motor as an example, its reliability modeling and evaluation issues are analyzed. The results illustrate the proposed models and the effectiveness of proposed algorithms. Moreover, the results reported in this work could be useful for the designers of electric vehicle motor, particularly, in the process of redesigning the electric vehicle motor and scheduling its reliability growth plan.
关键词：Fault tree; ;Re;liability modeling and evaluation; Electric vehicle motor; ;Uncertainty Theory;.