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 reliability prediction model is presented from the aspects of interval stress-strength interference model, and interval reliability criteria. Then, the process of reliability prediction approach based on non probabilistic interval analysis is formulated. Furthermore, 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 engineering practicality of the non probabilistic interval analysis. In addition, the consistent relationship between reliability by using probabilistic method and the reliability by using non-probabilistic 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 approach based on non-probabilistic interval analysis, but also it points out the direction for future research of the reliability prediction approach based on non probabilistic interval analysis.