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基于DS的孤立点检测在瓦斯浓度判定中的应用
引用本文:顾洪博,张星.基于DS的孤立点检测在瓦斯浓度判定中的应用[J].海南大学学报(自然科学版),2011,29(3):218-220,225.
作者姓名:顾洪博  张星
作者单位:1. 东北石油大学计算机与信息技术学院,黑龙江 大庆,163318
2. 大庆油田物资公司信息中心,黑龙江 大庆,163453
基金项目:黑龙江省自然科学基金项目(F200603)
摘    要:对几种孤立点检测算法进行介绍,总结它们的特点.针对孤立点检测算法的一些弊端和瓦斯浓度的实际情况,选择一个基于DS(距离和)的孤立点检测算法实现对瓦斯浓度的异常数据进行分析处理,找到真正的异常数据,保证煤矿安全预警的准确性.

关 键 词:孤立点检测  距离和  瓦斯浓度

Application of Distance Sum-based Outliers Detection Algorithm in the Concentration Analysis of Gas
GU Hong-bo,ZHANG Xing.Application of Distance Sum-based Outliers Detection Algorithm in the Concentration Analysis of Gas[J].Natural Science Journal of Hainan University,2011,29(3):218-220,225.
Authors:GU Hong-bo  ZHANG Xing
Institution:GU Hong-bo1,ZHANG Xing2(1.School of Computer & Information Technology,Northeast Petroleum University,Daqing 163318,China,2.Daqing Oilfield Materials Corporation,Daqing 163453,China)
Abstract:TIn our report,several outliers detection algorithm were introduced and their characteristics were summarized.Based on the shortages of algorithm and the actuality of the warning system,a distance sum-based outliers detection algorithms was used to analyze the gas concentration,and the abnormity data were found.The test results indicated that the model can eliminate the error alarm phenomenon effectively.
Keywords:outliers detection  distance sum-based  gas concentration  
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