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.
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.
出处
《海南大学学报（自然科学版）》
CAS
2011年第3期218-220,225,共4页
Natural Science Journal of Hainan University
基金
黑龙江省自然科学基金项目(F200603)
关键词
孤立点检测
距离和
瓦斯浓度
outliers detection
distance sum-based
gas concentration
