因子分析耦合可拓聚类在矿井通风可靠性评价中的应用

Application of Factor Analysis Coupled Extension Clustering in Reliability Evaluation of Mine Ventilation

为了更加简便准确地描述矿井通风系统的安全可靠性,采用因子分析法确定影响通风系统的主要因素。考虑到因素之间的可拓关系,将每一种因素进行聚类分析,构建可拓聚类评价模型。结合某矿通风系统的5组观测点案例,利用各观测点关于可靠性等级的关联度,计算出待评观测点的矿井通风系统隶属度,判定通风系统的可靠性等级,结果与实际案例情况一致,因此,此方法为评价矿井通风系统安全可靠性提供了新的技术途径。

In order to describe the safety and reliability of mine ventilation system more simply and accurately,factor analysis method was used to determine the main factors affecting the ventilation system.Considering the extension relationship among the factors,each factor was clustered,and an extension clustering evaluation model was constructed.Combining with five groups of observation points of a mine ventilation system,the membership degree of mine ventilation system to be evaluated was calculated by using the correlation degree of reliability grade of each observation point,and the reliability grade of ventilation system was determined.It was found that the result was consistent with the actual case.Therefore,this method can be used to provide a new technical way for the safety and reliability evaluation of other mine ventilation systems.