| 陈圆超,戴剑勇,刘珏玉.基于贝叶斯反馈云理论的地下矿山通风系统可靠性研究[J].南华大学学报(自然科学版),2018,32(4):8~14.[CHEN Yuanchao,DAI Jianyong,LIU Jueyu.Reliability Research of Ventilation System in Underground Mine Based on Cloud Method and Basyesian Feedback[J].Journal of University of South China(Science and Technology),2018,32(4):8~14.] |
| 基于贝叶斯反馈云理论的地下矿山通风系统可靠性研究 |
| Reliability Research of Ventilation System in Underground Mine Based on Cloud Method and Basyesian Feedback |
| 投稿时间：2018-03-14 |
| DOI： |
| 中文关键词: 地下矿山通风系统 可靠性 贝叶斯反馈 云理论 |
| 英文关键词:ventilation system in underground mine reliability bayesian feedback cloud method |
| 基金项目:国家自然科学基金研究项目(51174116) |
|
| 摘要点击次数: 832 |
| 全文下载次数: 608 |
| 中文摘要: |
| 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. |
| 英文摘要: |
| 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. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |