| 城市供水管网健康监测与诊断:IV.监测点压力在线预测 |
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| 引用本文： | 梁建文.城市供水管网健康监测与诊断:IV.监测点压力在线预测[J].防灾减灾工程学报,2013(3):241-245,262. |
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| 作者姓名： | 梁建文 |
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| 作者单位： | 天津大学土木工程系 |
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| 基金项目： | 国家自然科学基金项目(50678114)资助 |
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| 摘 要： | 供水管网运行状态的准确把握,对供水管网的健康监测与诊断至关重要,而监测点压力是管网运行状态最重要的标志之一。提出用于供水管网监测点压力在线预测的EMD(经验模态分解)与自回归模型相结合的方法,并对EMD组合模态所蕴含的物理意义进行了阐述。通过一实际供水管网中某监测点压力的在线预测与实际监测值的比较,验证了方法的有效性,此方法可提高城市供水管网健康的在线监测与诊断的效率。
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| 关 键 词： | 供水管网 健康监测与诊断 监测点压力 在线预测 经验模态分解(EMD) 自回归模型 |
Health Monitoring and Diagnosis of a Water Distribution System:IV.Online Forecast of Pressure at Monitoring Stations |
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| LIANG Jian-wen.Health Monitoring and Diagnosis of a Water Distribution System:IV.Online Forecast of Pressure at Monitoring Stations[J].Journal of Disaster Prevent and Mitigation Eng,2013(3):241-245,262. |
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| Authors: | LIANG Jian-wen |
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| Institution: | LIANG Jian-wen(Department of Civil Engineering,Tianjin University,Tianjin 300072,China) |
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| Abstract: | Accurate estimation of operation status of a water distribution system is essential to health monitoring and diagnosis of the water distribution system,while the water pressure is the most important indicator of the operation status.This study proposes a method,combination of EMD(Empirical Mode Decomposition) method and AR model,for online forecast of the pressure at monitoring stations in a water distribution system.The effectiveness of the method is verified by the comparison between the forecasting of the pressure in a water distribution system and the monitoring data.This study provides an effective way for online health monitoring and diagnosis of a water distribution system. |
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| Keywords: | water distribution system health monitoring and diagnosis monitoring pressure online forecast empirical model decomposition(EMD) AR model |
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