计算机与现代化Issue(1)：10-13,4.DOI:10.3969/j.issn.1006-2475.2012.01.003
基于“3σ法则”的显著误差检测
Detecting and Identifying Gross Errors Based on “3σ Rule”
李九龙 1周凌柯1
作者信息
- 1. 南京理工大学自动化学院,江苏南京210094
- 折叠
摘要
Abstract
Measurements can be contaminated with gross errors due to various reasons such as measurement irreproducibility, sensor problem and other reasons. The direct data reconciliation will diffuse gross errors, which affect reliability and accuracy of data reconciliation results. As a result, before the data reconciliation, it needs to identify and remove the measurement data contaminated with gross errors. The existing methods of gross errors detection have not a good detection result for limited gross errors (less than or equal to 3 ). This paper presents a new method of detecting and identifying gross errors based on "3a rule" , which not only has a good detection result for limited gross errors but also for more gross errors. By using the method of collective compensation for gross errors, this method can effectively prevent the emergence of the singular matrix.关键词
显著误差/数据校正/概率统计/同步补偿Key words
gross errors/ data reconciliation/ probability and mathematical statistics/ collective compensation分类
信息技术与安全科学引用本文复制引用
李九龙,周凌柯..基于“3σ法则”的显著误差检测[J].计算机与现代化,2012,(1):10-13,4.
