원문정보
초록
영어
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.
목차
1. Introduction
2. FT based Fuzzy Petri nets Models for Reliability Analysis
2.1. FT Model for Reliability Analysis
2.2. Fuzzy Petri nets Model for Reliability Analysis
3. Method and Algorithm for Reliability Evaluation
3.1. Reliability Evaluation Method
3.2. Algorithm for Reliability Evaluation
4. Reliability Modeling and Evaluation of Electric Vehicle Motor
4.1. Reliability Modeling of Electric Vehicle Motor
4.2. Reliability Evaluation of Electric Vehicle Motor
5. Conclusions
Acknowledgements
References
