• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems
【24h】

A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems

机译：配水系统节点需求模态校准的贪婪采样设计算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a greedy optimization algorithm for sampling design to calibrate WDS hydraulic model. The proposed approach starts from the existing sensors and sequentially adds one new sensor at each optimization simulation step. In each step, the algorithm tries to minimize the calibration prediction uncertainty. The new sensor is installed in the location where the uncertainty is greatest but also sensitive to other nodes. The robustness of the proposed approach is tested under different spatial and temporal demand distribution. We found that both the number of sensors and the perturbation ratio affect the calibration accuracy as defined by the average nodal pressure deviation itself and its variability. The plot of the calibration accuracy versus the number of sensors can reasonably guide the trade-off between model calibration accuracy and number of sensors placed or the cost. This proposed approach is superior in calibration accuracy and modeling efficiency when compared to the standard genetic algorithm (SGA) and Monte Carlo Sampling algorithm (MCS).
机译：本文提出了一种用于样本设计的贪婪优化算法，用于校准WDS水力模型。所提出的方法从现有的传感器开始，并在每个优化模拟步骤中依次添加一个新的传感器。在每个步骤中，算法都会尝试最小化校准预测的不确定性。新传感器安装在不确定性最大但对其他节点也敏感的位置。在不同的时空需求分布下测试了该方法的鲁棒性。我们发现，传感器的数量和扰动比都会影响校准精度，校准精度由平均节点压力偏差本身及其可变性定义。校准精度与传感器数量的关系图可以合理地指导模型校准精度与所放置传感器数量或成本之间的权衡。与标准遗传算法（SGA）和蒙特卡洛采样算法（MCS）相比，该方法在校准精度和建模效率方面具有优势。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|3917571.1-3917571.11|共11页
  • 作者

    Shao Yu; Chu Shipeng; Zhang Tuqiao; Yang Y. Jeffrey; Yu Tingchao;

  • 作者单位

    Zhejiang Univ, Dept Civil Engn, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Dept Civil Engn, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Dept Civil Engn, Hangzhou 310058, Zhejiang, Peoples R China;

    US EPA, Off Res & Dev, ORISE Fellowship, 26 W Martin Luther King Dr, Cincinnati, OH 45268 USA;

    Zhejiang Univ, Dept Civil Engn, Hangzhou 310058, Zhejiang, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号