Reliability Modelling and Assessment of Automotive Transmission Based on Bayesian Networks  
Author Xiaowei Yin


Co-Author(s) Wenxue Qian; Qianqian Cao; Liyang Xie


Abstract In this paper, a new method called Bayesian network (BN) is used to assess the reliability of automotive transmission, which is one of the most important assemblies of a car that includes many components. A BN model of automotive transmission reliability is built and its reliability is calculated. It can be seen that the reliability assessment based on BN is relatively simple and the dependencies between components can be considered too. It proves the validity and superiority of BN in the application of the reliability analysis and assessment and the results are meaningful for practical engineering.


Keywords Reliability assessment, automotive transmission reliability, Bayesian Network
    Article #:  22070
Proceedings of the 22nd ISSAT International Conference on Reliability and Quality in Design
August 4-6, 2016 - Los Angeles, California, U.S.A.