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基于模糊故障树的农机事故影响因素分析

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通过故障树分析,推导出23个已知和潜在的农机事故原因,求解57个最小割集和3个最小路径集;其次,用三角模糊数论对23个基本事件的概率进行模糊处理,得到每个基本事件的模糊概率值;最后,通过排序模糊,明确23个基本事件对顶部事件的影响程度.结果显示:在23个因素中,机器没有安全防护装置(X1)、人员没有佩戴安全防护装置(X2)、长时间工作(X16)、不合理的控制装置(X15)、超速超载(X7)等因素名列榜首.
Analysis of Influencing Factors of Agricultural Machinery Accidents Based on Fuzzy Fault Tree
In order to accurately grasp the risk sources of agricultural machinery accidents,explore the causes and rules of agricultur-al machinery accidents,and effectively prevent various accidents in the production process of agricultural machinery products,the fault tree analysis method was combined with triangular fuzzy number to build a fuzzy fault tree model and analyzed the factors caus-ing agricultural machinery accidents.The results showed that among the 23 factors,the machine does not have safety protection de-vices(X1),the personnel does not wear safety protection devices(X2),long working hours(X16),unreasonable control devices(X15),overspeed and overload(X7)and other factors ranked first.

agricultural machinery accidentfault tree analysisfuzzy fault treefuzzy importance

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安庆市宜秀区农机安全监理站,安徽 安庆 246001

农机事故 故障树分析法 模糊故障树 模糊重要性

2024

农业技术与装备
山西省农业机械化技术推广总站 山西省农业技术推广站 山西省农业生态环境建设总站

农业技术与装备

影响因子:0.132
ISSN:1673-887X
年,卷(期):2024.(12)