液压与气动Issue(4)：8-14,7.DOI:10.11832/j.issn.1000-4858.2017.04.002
基于证据理论和贝叶斯网络的液压驱动系统可靠性分析
Reliability Analysis Based on Evidence Theory and Bayesian Network for Hydraulic Drive System
摘要
Abstract
In order to solve the uncertainties of hydraulic systems caused by complex structure,incomplete data and imperfect cognition of failure and the multi-state problems of the multiple property and multi-fault state in hydraulic systems,a reliability analysis method of hydraulic system combined with the evidence theory and Bayesian network is proposed.Evidence theory can well process uncertain information and describe the failure probability of the root node by using the likelihood probability and trust probability,which can solve the problem that the failure probability of the root node is not easy to obtain accurately.Then,by the description of the multi-state system and the inference algorithm of Bayesian network,a method is given for calculating the failure probability interval of the leaf node,the importance indices of the root node and the sensitivity indices of the root node.Finally,the new method is applied to the construction machinery hydraulic drive system.The analysis shows that the method can effectively describe the problem of the uncertainty and multi-state.关键词
液压驱动系统/可靠性分析/贝叶斯网络/证据理论Key words
hydraulic drive system/reliability analysis/Bayesian network/evidence theory分类
机械制造引用本文复制引用
陈东宁,李怀水,姚成玉,李硕,饶乐庆..基于证据理论和贝叶斯网络的液压驱动系统可靠性分析[J].液压与气动,2017,(4):8-14,7.基金项目
国家自然科学基金(51405426,51675460) （51405426,51675460）
河北省自然科学基金(E2016203306) （E2016203306）
