摘要
运用模糊故障树理论建立了以完成攀爬作业的机器人总故障为顶事件的故障树,计算了样机系统发生故障的模糊概率,对蠕动式缆索机器人进行定量分析,得出在不同置信水平下蠕动式缆索机器人发生故障的概率区间值,解决了传统故障树分析无法解决的基本事件——难以精确赋值时的故障分析,使得维修人员对缆索机器人的故障诊断从单凭经验的盲目诊断上升到理论化和系统化高度,为提高蠕动式缆索机器人的可靠性水平提供了依据。
By applying the theory of fuzzy fault tree,this paper establishes a fauh tree with the cable robot fault as top event, calculates the fuzzy fault probability of the prototype system. Then the probability interval values of failures under different confidence levels can be obtained based on the quantitative analysis of the worming robot. The proposed method provides a practical and effective approach for the fault analysis question that is the basic events with inaccurate assignment. It was proved that this method could improve the fault analysis of maintenance personnel from experience level to a theoretical and systematic level. It is provide a theoretical basis for improving the reliability level of worming cable robot.
出处
《机械设计》
CSCD
北大核心
2015年第8期31-35,共5页
Journal of Machine Design
基金
安徽高校省级自然科学研究资助项目(KJ2011Z043)
