Reliability Analysis Method for Complex Mechanism System Based on Bayesian Network and Hybrid Uncertainty  
Author Pidong Wang


Co-Author(s) Jianguo Zhang; Yue Lu; Yuqiang Liu


Abstract Aiming at the hybrid uncertainty in complex mechanism system, this paper presents a new hybrid reliability model which contains randomness, fuzziness and nonprobabilistic uncertainty based on the hybrid Bayesian network. By solving the hybrid uncertainty quantification and propagation problems in complex mechanism system in a hierarchical way from simple components to subsystems, the hybrid reliability can be obtained. For illustration and validation the purpose, an example of two axis position mechanism is demonstrated in details. The results show that the presented hybrid model, which may ensure mechanism security, is effective and practical.


Keywords Complex Mechanism System, Hybrid Uncertainty, Quantification and Propagation, Hybrid Bayesian Network, Hybrid Reliability
    Article #:  20312
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.