摘要
针对现有液压机械可靠性评估方法存在的评估时间过长、评估结果精度较差等问题,提出基于优化故障树模型的可靠性评估方法。确定液压机械全部故障类型及逻辑关系,建立液压机械故障树模型,采用T-S模糊门取代逻辑门优化故障树模型。利用层次分析法(AHP)测定中间事件重要度,应用T-S模糊门规则对底事件故障概率与模糊数进行设定与计算,获取液压机械故障概率,从而计算出液压机械可靠性评估结果。实验结果显示:该方法的评估时间为4.8 s,液压机械可靠性评估结果与实际结果相同。
Aiming at the problems of the existing reliability evaluation methods of industrial hydraulic machinery such as lengthy evaluation time and poor accuracy,a reliability evaluation method based on an optimized fault tree model was proposed.All fault types and logical relationships of hydraulic machinery were determined,and the fault tree model of industrial hydraulic machinery was established.T-S fuzzy gates were used to replace logic gates to optimize the fault tree model.The importance of intermediate events was measured using the Analytic Hierarchy Process(AHP),and the failure probability and fuzzy number of bottom events were set and calculated by T-S fuzzy gate rules.The failure probability of industrial hydraulic machinery was derived,and the reliability evaluation results of industrial hydraulic machinery were calculated.The experimental results demonstrate that the reliability evaluation time for industrial hydraulic machinery,when using the proposed method,is seconds,and the reliability evaluation results of industrial hydraulic machinery are the same as the actual results.
作者
徐冠军
黄正华
XU Guanjun;HUANG Zhenghua(School of Mechanical Engineering,Anhui Technical College of Mechanical and Electrical Engineering,Wuhu 241002,China;School of Intelligent Manufacturing,Panzhihua University,Panzhihua 617000,China)
出处
《成都工业学院学报》
2024年第4期21-25,共5页
Journal of Chengdu Technological University
基金
安徽机电职业技术学院和芜湖捷和科技有限公司横向项目(HX2023096)。
关键词
可靠性评估
液压机械
T-S模糊门
优化故障树模型
中间事件重要度
Reliability Assessment
industrial hydraulic machinery
T-S fuzzy gate
optimized fault tree model
intermediate event importance
