文档介绍：中SI农村水利水电• 2014年第2期 85
71994-2014 China Academic Journal Electronic Publishing House. All rights reserved,
文章集号：1007-2284 (2011)02-0085-03
大坝自动监测数据异常值识别的改进数据跳跃法
（•陕西杨凌712100）
摘 要：大坝安仝自动化益测过租中•大遣数摇中的异常值识别已成为亟待解决的难逆•将一种较为实用的识别方 法--釵堀跳跃法进行改进•并利用Matlab进行蚪程实现。通过对袅混决土重力坝自动监測数攥进行处理验ii•证明 比改进做摒跳跃法此准确实用•
关键词：大坝安仝监测：异常值识别汀攵进數据跳跃法:Matlab
中图分类号:TV6 文献标识码：A
Improved Data Jump Method on the Identification of Outliers in Dam Automatic Monitoring
ZHAO Jian. ZHANG Hui li
(College of Water Conservancy and Architectural Engineering.
Northwest Agricultural and Forestry University. Yangling 712100. Shaanxi Province. China)
Alistract: In the process of dam safety monitoring automation, the identification of outliers of large data has become a problem to be solved・ A more practical method of identification, data jump method, is improved and realized through Matlab programminR. Through the data verification of a concrete gravity dam automatic monitoring. the improved data jump technique proves to be more accurate and practical.
Key uor<ls： dam safety monitoring； identification of outliers； improved data jump method； Matiab
中SI农村水利水电• 2014年第2期 85
71994-2014 China Academic Journal Electronic Publishing House. All rights reserved,
中SI农村水利水电• 2014年第2期 85
71994-2014 China Academic Journal Electronic Publishing Ho