改进广义灰色关联故障树的矿车坠落故障模式分析

发布时间：2019-06-20 13:07

【摘要】：为了了解煤矿生产过程中,导致矿车坠落的故障模式,并分析这些故障模式导致矿车坠落的可能性,提出了一种改进广义灰色关联故障树来分析该问题.首先建立矿车坠落事故的故障树,并得到最小割集.用最小割集代表故障模式构建典型故障的特征矩阵.用各底事件的重要度确定待检模式向量.使用改进广义灰色关联法计算关联度,改进包括通过分配系数将绝对灰色关联度和相对灰色关联度结合,及求初值像时首项为0时的处理方法.对矿车坠落的分析表明:故障模式一共18种,得到了故障模式与事故的相关性数值及排序.关联值在[0.7618,0.5968]之间,最大的C_(14)比最小的C_1大0.17,C_7~C18均超过0.730应特别注意.
[Abstract]:In order to understand the fault mode of mine car falling in the process of coal mine production and analyze the possibility of mine car falling caused by these fault modes, an improved generalized grey relational fault tree is proposed to analyze the problem. Firstly, the fault tree of mine car falling accident is established, and the minimum cut set is obtained. The characteristic matrix of typical fault is constructed by using the minimum cut set to represent the fault mode. The mode vector to be detected is determined by the importance of each bottom event. The improved generalized grey correlation method is used to calculate the correlation degree, which includes the combination of absolute grey correlation degree and relative grey correlation degree by distribution coefficient, and the treatment method when the first term of initial value image is 0. The analysis of mine car falling shows that there are 18 kinds of fault modes, and the correlation value and ranking between fault modes and accidents are obtained. The correlation value is between [0.7618, 0.5968]. The maximum C _ (14) is 0.17 larger than the smallest C _ (1), and the C _ (7) C _ (18) is more than 0.730. Special attention should be paid to the relationship between the maximum C _ (14) and the smallest C _ (14).
【作者单位】：辽宁工程技术大学安全科学与工程学院;辽宁工程技术大学学生处;矿山热动力灾害与防治教育部重点实验室;大连交通大学辽宁省隧道与地下结构工程技术研究中心;辽宁工程技术大学力学与工程学院;
【基金】：国家自然科学基金(51274110,51474121)
【分类号】：TD53;TD77

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