摘要
故障树分析法对事件的定性、定量有一定的局限性,而贝叶斯网络分析法能够运用多维变量将矿井提升机制动系统故障树中的各事件作为贝叶斯网络中的节点,进而可计算出系统故障相应的条件概率。通过结合贝叶斯网络法和故障树分析法分析矿井提升机制动系统各故障事件之间的逻辑关系的不确定性和多态性,能够更为准确地分析矿井提升机制动系统的故障概率。
The fault tree analysis method of qualitative,quantitative events has certain limitations,and Bayesian network analysis method can apply multidimensional variables to the mine hoist braking system,to make each event of fault tree as a node in the Bayesian network,and then calculate the system failure probability corresponding conditions.By combining the Bayesian network method and the fault tree analysis method to analyze the uncertainty of logic relationship between failure events,we can analyze the mine lifting machine brake system failure probability more accurately.
出处
《机械工程与自动化》
2015年第5期133-134,139,共3页
Mechanical Engineering & Automation
