摘要
为及时发现矿井通风系统中存在的问题,排除安全隐患,构建一种合理、有效的矿井通风系统安全可靠性评判模型.应用统计学理论,结合矿井通风系统经济性、安全性的要求,利用SPSS软件对学习样本进行因子分析(FA),有效的选取主因子,对主因子进行Fisher判别分析(FDA),建立因子Fisher判别分析模型(FA-FDA).用建立的因子Fisher判别分析函数对待测样本进行分类,并对实际生产的矿井通风系统安全性进行判别.研究结果表明:预测结果与实际结果相吻合,因子Fisher判别分析模型在研究矿井通风系统安全可靠性方面性能较好,预测精度高,操作过程简单,便于实际推广.
In order to discover the existing problems and eliminate safety hazard in the mine ventilation system, we need to build a reasonable and effective safety reliability of mine ventilation system evaluation model. This paper based on statistical theory, selected evaluation indexes which are in the safe and reliable, economic and reasonable, and easy measurement principle. By using SPSS software to do Factor Analysis（FA） for the learning samples, the main factor components were effectively selected and used Fisher Discriminant Analysis（FDA） to analyze the main factor, and Factor Analysis-Fisher discriminant analysis model （FA-FDA） was established. The FA -FDA model applied to practical production. The results show that the FA-FDA model forecast results are fully compliance with the real condition, and it has a high prediction accuracy in mine ventilation reliability of risk classification. The model is simple and easy to operate and could be used in practical engineering.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2014年第9期1221-1225,共5页
Journal of Liaoning Technical University (Natural Science)
基金
辽宁省高等学校优秀人才支持计划资助项目(LJQ2011028)
国家自然科学基金资助项目(51274116)
