给水管网实时故障诊断的支持向量机模型

英文篇名：SVM based model for realtime diagnostic of water distribution network
中文刊名：给水排水
英文刊名：Water & Wastewater Engineering
作者：韩阳 ; 王威
英文作者：Han Yang ; Wang Wei(Disaster Elimination Engineering Research Institute ; Henan Industry University ; Zhengzhou 450002 ; China)
中文关键词：支持向量机 ; 给水管网 ; 实时 ; 故障诊断 ; 逆分析
英文关键词：Support vector machine (SVM) ; Water distribution network ; Realtime ; Troubleshooting ; Inverse analysis
出版日期：2007-02-10
机构：河南工业大学防灾减灾工程研究所,河南工业大学防灾减灾工程研究所郑州450052,郑州450052
年：2007
期：02
出版单位：给水排水

摘要

为实时诊断给水管网故障,提出了一种基于支持向量机(SVM)的宏观关系模型,用以建立实时监测故障前后给水管网3个节点的水压变化与管网中其他所有未监测节点水压变化的非线性关系,通过对水压变化和等值线分析,可以快速和准确地诊断出故障位置和故障程度。最后,运用给水管网局部破坏状态下水力分析的算法求解一个小型给水管网。
A Support vector machine (SVM) based macro relationship model was established for realtime diagnostic of municipal water distribution networks. The water pressure deficits at three nodes in the network were monitored realtimely, and the nonlinear relationships of water pressure examinations of these three points and all the nomonitored points before and after troubles had been recognized. By the way of water pressure deficit monitoring and the isogram analysis, the location and the severity of the happening troubles could be found out quickly and exactly. Also a small network was calculated by hydraulic analysis of local break downed network.

引文

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