Reliability prediction approach based on non-probabilistic interval analysis: Case study of transmission system

This paper presents a reliability prediction approach based on non-probabilistic interval analysis. First, the interval relia- bility prediction model is presented from the aspects of interval stress-strength interference model, and interval reliability crite- ria. Then, the process of reliability prediction approach based on non-probabilistic interval analysis is formulated. Further- more, the reliabilities of Planetary Gear Drive Mechanism at different confidence coefficients are obtained by using the non- probabilistic interval analysis. Finally, the result of the non- probabilistic interval analysis is compared with the results of non-probabilistic convex model and the probabilistic method in order to illustrate the characteristics, advantage and engineer- ing practicality of the non-probabilistic interval analysis. In ad- dition, the consistent relationship between reliability by using probabilistic method and the reliability by using non- probabilis- tic method is preliminarily discussed. All in all, this paper not only takes planetary gear drive mechanism as a case to provide guidance for mechanisms by using the reliability prediction ap- proach based on non-probabilistic interval analysis, but also it points out the direction for future research of the reliability pre- diction approach based on non-probabilistic interval analysis.