[1]张建安,李文俊,刘韩勇,等.基于粗糙集和聚类的采空区煤自燃火灾预报[J].西安科技大学学报,2012,(06):696-701.
 ZHANG Jian-an,LI Wen-jun,LIU Han-yong,et al.Forecast of spontaneous combustion fire in goaf based on rough set and cluster[J].Journal of Xi'an University of Science and Technology,2012,(06):696-701.
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基于粗糙集和聚类的采空区煤自燃火灾预报(/HTML)
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2012年06期
页码:
696-701
栏目:
出版日期:
2012-12-31

文章信息/Info

Title:
Forecast of spontaneous combustion fire in goaf based on rough set and cluster
文章编号:
1672-9315(2012)06-0696-06
作者:
张建安李文俊刘韩勇王安良
陕煤集团 神木张家峁矿业有限公司,陕西 神木 719316
Author(s):
ZHANG Jian-anLI Wen-junLIU Han-yongWANG An-liang
Shenmu Zhangjiamao Mining Co., Ltd. of Shaanxi Coal Group, Shenmu 719316,ChinaAbstract:There exist some problems such as higher dimension of feature, redundancy existing in features and the irrationality of the artificial divided temperature pariods when using mark gas analysis method to forecast the spontaneous combustion fire, this paper proposed a approach to forecast spontaneous combustion fire in goaf based on rough setRSand k
关键词:
煤自燃火灾 粗糙集 k-均值 聚类 标志气体分析法 采空区
Keywords:
coal spontaneous combustion fire RS k-means cluster mark gas analysis method goaf
分类号:
TD 752.2
文献标志码:
A
摘要:
采用标志气体分析法对煤自燃火灾预报时存在特征维数较高、特征之间存在冗余及人为划分温度段的不合理性等问题,文中提出基于粗糙集和聚类的采空区煤自燃火灾预报方法。即使用粗糙集对原始样本去除冗余和特征维数约简,再用聚类方法对约简后的特征进行聚类得到各温度段的特征中心,并使用模式识别的方法,确定出煤自燃标志气体特征其与温度段特征中心的相似性,从而实现采空区遗煤自燃状态的识别和早期预报。
Abstract:
There exist some problems such as higher dimension of feature, redundancy existing in features and the irrationality of the artificial divided temperature pariods when using mark gas analysis method to forecast the spontaneous combustion fire, this paper proposed a approach to forecast spontaneous combustion fire in goaf based on rough set(RS)and k

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备注/Memo

备注/Memo:
收稿日期:2012-07-10
通讯作者:张建安(1966-),男,陕西咸阳人,高级工程师,主要从事煤矿技术与安全管理工作.
更新日期/Last Update: 1900-01-01