|本期目录/Table of Contents|

[1]姚舜才,朱红青,沈静,等.支持向量机多重分类救生舱环境评价研究[J].中国安全生产科学技术,2013,9(4):44-50.[doi:10.11731/j.issn.1673-193x.2013.04.008]
 YAO Shun cai,ZHU Hong qing,et al.Study on dynamic environment assessment for coal refuge chamber based on support vector machine multiclassification[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(4):44-50.[doi:10.11731/j.issn.1673-193x.2013.04.008]
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支持向量机多重分类救生舱环境评价研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
9
期数:
2013年4期
页码:
44-50
栏目:
学术论著
出版日期:
2013-04-30

文章信息/Info

Title:
Study on dynamic environment assessment for coal refuge  chamber based on support vector machine multiclassification
作者:
姚舜才12朱红青1沈静1和超楠1
(1中国矿业大学〈北京〉资源与安全工程学院,北京100083;2中北大学信息与通信工程学院,山西太原030051)
Author(s):
YAO Shuncai 1 2 ZHU Hongqing1 SHEN Jing1 HE Chaonan1
(1School of Resource and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;  2 School of Information and Communication Engineering , North University of China, Taiyuan Shanxi 030051, China)
关键词:
矿用救生舱支持向量机多重分类动态环境评价
Keywords:
coal mine refuge chamber support vector machine multiclass classification dynamic environment assessment
分类号:
TP 272
DOI:
10.11731/j.issn.1673-193x.2013.04.008
文献标志码:
A
摘要:
针对矿用救生舱舱内环境动态评价的问题,采用支持向量机多重分类机制进行评价研究。确定了舱内环境评价的等级指标;将环境评价问题处理为分类和分级两部分,分别给出了相应的函数。使用粒子群优化算法进行了参数优化;制订了具体的评价方案,得出了动态评价结果。经现场试验证明,该环境评价方法可以对救生舱舱内环境进行有效、实时的动态评价,算法收敛速度较快,为救生舱舱内环境调控提供了可靠的理论基础和充分的现场数据。
Abstract:
Aiming at the problem of dynamic environment assessment in coal mine refuge chamber, support vector machine multiclassification was adopted to assess research. The classification targets of inner environment were defined. Environment assessment of refuge chamber was divided into two parts, which were classification and grading. The corresponding functions were given. The parameters were optimized by using particle swarm organization, formulates specific assessment scheme, and final dynamic assessment results were obtained. It was proved that the assessment scheme can assess inner environment of coal mine refuge chamber in real time and effectively by experiments, which are accomplished in a practical chamber. Furthermore, the convergence speed of assessment algorithm was improved. It provided reliable theoretical basis and adequate data.

参考文献/References:

[1]高广伟, 张禄华. 煤矿井下移动救生舱的设计思路[J].中国安全生产科学技术,2009,5(4): 162164 GAO Guangwei, ZHANG Luhua. Design principles of movable coal mine refuge chamber[J]. Journal of Safety Science and Technology, 2009,5(4): 162164〖ZK)
[2]姚舜才, 潘宏侠. 粒子群优化同步电机分数阶鲁棒励磁控制器[J].中国电机工程学报, 2010,30(21): 9197 YAO Shuncai, PAN Hongxia. Fractional order PID controller for synchronous machine excitation using particle swarm optimization [J]. Proceedings of the CSEE, 2010, 30(21):9197〖ZK)
[3]汪声, 金龙哲, 栗婧, 等. 矿用救生舱热环境分析[J].煤炭学报, 2011,36(9): 15241527 WANG Sheng, JIN Long zhe, LI Jing, et al. Analysis of thermal environment of mine refuge chamber [J]. Journal of China Coal Society, 2011, 36(9): 15241527 〖ZK)
[4]都平平. 基于支持向量机的综合地质环境评价研究[J]. 采矿与安全工程学报, 2012, 29(4): 555558 DU Pingping. The research of integrated geological environment evaluation based on support vector machine [J]. Journal of Mining & Safety Engineering, 2012, 29(4) : 555558〖ZK)
[5]张学工 译,Vladimir N. Vapnik 著. 统计学习理论的本质(第2版)[M]. 北京: 清华大学出版社, 2008: 4854〖ZK)
[6]Yiakopoulos, C.T., Gryllias, K.C., Antoniadis, I.A., Rolling element bearing fault detection in industrial environments based on a Kmeans clustering approach [J]. Expert Syst. Appl, 2011, 38(4): 28882911〖ZK)
[7]Platt J C,Cristianini N, Shawe Taylor J.Large margin DAGs for multiclass classification [J]. Advances in Neural Information Processing Systems, 2000, (12)12: 547553〖ZK)
[8]夏思宇,潘泓,金立左. 非平衡二叉树多类支持向量机分类方法[J]. 计算机工程与应用, 2009, 45(17): 167169 XIA Siyu, PAN Hong, JIN Lizuo. Multiclass SVM method based on nonbalanced binary tree [J]. Computer Engineering, 2009, 45(17): 167169〖ZK)
[9]王凌,刘波. 微粒群优化与调度算法[M]. 北京:清华大学出版社,2008: 1619〖ZK)
[10]Trelea, I. C. The particle swarm optimization algorithm: convergence analysis and parameter selection [J]. Information Processing Letters, 2003, 85 (6): 317325〖ZK)
[11]陈桥, 胡克, 雒昆利, 等. 基于AHP法的矿山生态环境综合评价模式研究[J]. 中国矿业大学学报, 2006,25(3):377383 CHEN Qiao, HU Ke, LUO Kunli, et al. Study on the synthetical assessment model of mine ecoenvironments based on AHP.[J]. Journal of China University of Mining & Technology, 2006, 25(3):377383〖ZK)
[12]周桂铨.矿山生态环境问题及防治保护[J]. 采矿技术, 2003,(3):3436〖ZK)
[13]Dharne, A. G., Jayasuriya, S. Robust adaptive control of residual vibrationin pointtopoint motion of flexible bodies[J]. Journal of Vibration and Control, 2007,13(7):951968〖ZK)
[14]Owens, D. H., Hatonen, J. J., Daley, S. Robust monotone gradientbased discretetime iterative learning control. International [J]. Journal of Robust and Nonlinear Control, 2009, 19(5): 634661〖ZK)
[15]姚舜才, 朱红青, 屈丽娜, 等. 基于非线性模型的矿用救生舱温度控制[J]. 煤炭学报, 2012,37(1): 9297 YAO Shuncai, ZHU Hongqing, QU Lina, et al. Temperature control system for coal mine refuge chamber based on nonlinear mathematical model [J]. Journal of China Coal Society, 2012, 37(1): 9297〖ZK)
[16]朱世增,党选举基于相关向量机的非线性动态系统辨识[J]计算机仿真,2008,25(6):103107 ZHU Shizeng,DANG XuanjuNonlinear dynamic system identification based on relevance vector machine[J]Computer Simulation,2008,25(6):103107 〖ZK)〖FL)〖HJ〖HT〖ST〖WT

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备注/Memo

备注/Memo:
国家自然科学基金资助项目(51074168);中央高校基本科研业务费专项资金(青年科研专项)资助项目(2010QZ03)
更新日期/Last Update: 2013-07-11