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首页> 外文会议>2016 3rd Conference on Control and Fault-Tolerant Systems >Optimal sensor placement for classifier-based leak localization in drinking water networks
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Optimal sensor placement for classifier-based leak localization in drinking water networks

机译：最佳传感器位置，用于饮用水网络中基于分类器的泄漏定位

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摘要

This paper presents a sensor placement method for classifier-based leak localization in Water Distribution Networks. The proposed approach consists in applying a Genetic Algorithm to decide the sensors to be used by a classifier (based on the k-Nearest Neighbor approach). The sensors are placed in an optimal way maximizing the accuracy of the leak localization. The results are illustrated by means of the application to the Hanoi District Metered Area and they are compared to the ones obtained by the Exhaustive Search Algorithm. A comparison with the results of a previous optimal sensor placement method is provided as well.
机译：本文提出了一种用于配水网中基于分类器的泄漏定位的传感器放置方法。所提出的方法包括应用遗传算法来确定分类器要使用的传感器（基于k最近邻方法）。传感器以最佳方式放置，可最大程度地提高泄漏定位的准确性。通过在河内地区计量区中的应用来说明结果，并将其与通过穷举搜索算法获得的结果进行比较。还提供了与先前最佳传感器放置方法的结果的比较。

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  • 来源
  • 会议地点 Barcelona(ES)
  • 作者

    Adria Soldevila; Sebastian Tornil-Sin; Rosa M. Fernandez-Canti; Joaquim Blesa; Vicenç Puig;

  • 作者单位

    Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya, Campus de Terrassa, Gaia Building, Rambla Sant Nebridi, 22 08222 Terrassa, Barcelona;

    Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya, Campus de Terrassa, Gaia Building, Rambla Sant Nebridi, 22 08222 Terrassa, Barcelona;

    Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya, Campus de Terrassa, Gaia Building, Rambla Sant Nebridi, 22 08222 Terrassa, Barcelona;

    Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya, Campus de Terrassa, Gaia Building, Rambla Sant Nebridi, 22 08222 Terrassa, Barcelona;

    Supervision, Safety and Automatic Control Research Center (CS2AC) of the Universitat Politècnica de Catalunya, Campus de Terrassa, Gaia Building, Rambla Sant Nebridi, 22 08222 Terrassa, Barcelona;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Genetic algorithms; Pressure measurement; Pressure sensors; Estimation; Noise measurement; Data models; Sociology;

    机译：遗传算法压力测量压力传感器估计噪声测量数据模型社会学;

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