摘要
为减少传统地下矿山评价方法中人的主观因素影响,提出采用基于贝叶斯反馈云理论的地下矿井通风系统可靠性评价方法,完成评价指标定性概念向定量数值的转化,再以贝叶斯方法进行参数修正.实例分析表明:该方法能有效修评价人员的评价差异,提高可靠性评价的客观性和科学性.
For reducing the influence of subjective factors in traditional assessment methods of underground mine,the reliability assessment method for ventilation system in underground mine based on cloud method and bayesian feedback is set forward to transform the qualitative indexes into quantitative indexes and optimize the parameters.The case of application suggests that the theory can correct the assessment divergence of personnel effectively and improve the objectivity and scientificity of the reliability assessment.
作者
陈圆超
戴剑勇
刘珏玉
CHEN Yuanchao 1,DAI Jianyong 1,2 ,LIU Jueyu 3(1.School of Environmental Protection and Safety Engineering,University of South China,Hengyang,Hunan 421001,China;2.The Graduate School,University of South China,Hengyang,Hunan 421001,China;3.School of Economics and Law,Hengyang,Hunan 421001,Chin)
出处
《南华大学学报（自然科学版）》
2018年第4期8-14,共7页
Journal of University of South China：Science and Technology
基金
国家自然科学基金研究项目(51174116)
关键词
地下矿山通风系统
可靠性
贝叶斯反馈
云理论
ventilation system in underground mine
reliability
bayesian feedback
cloud method
