摘要
汽车制动系统直接影响着汽车的行驶安全性和可靠性。然而,汽车制动系统越来越复杂,其各部件失效形式存在不确定性和多态性,且先验数据难以获得。提出一种模糊多态贝叶斯网络的可靠性分析方法,通过专家打分法得到模糊概率,利用贝叶斯网络工具箱计算发生概率,进而对制动系统进行可靠性分析。计算分析结果表明,该方法可以有效解决多状态不确定性系统的可靠性和安全性问题。
Automobile braking system directly affects the driving safety and reliability of automobile. However, automobile braking system has something extremely complex, it has the characteristics of uncertainty and various states for the part=s fail-safe modes, and the accurate fault probabilities of the parts in the system are difficult to obtain. This paper puts forward the analysis method combining the fuzzy probability with Bayesian network. Expert scoring method is used to get the fuzzy prior probability, Bayesian network toolbox is used to calculate probability, and then analyzing the system reliability. The results show that the method can effectively solve the problem of reliability and safety of various states and uncertain system.
出处
《汽车工程师》
2018年第1期33-35,40,共4页
Automotive Engineer
基金
南通职业大学2017年校级立项项目(17ZK09)
关键词
汽车制动系统
贝叶斯网络
模糊理论
多状态
可靠性分析
Automobile braking system
Bayesian network
Fuzzy theory
Various modes
Reliability analysis
