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首页> 外文期刊>Journal of Hydroinformatics >Signal analysis and anomaly detection for flood early warning systems
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Signal analysis and anomaly detection for flood early warning systems

机译：洪水预警系统的信号分析和异常检测

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摘要

We describe the detection methods and the results of anomalous conditions in dikes (earthen dams/ levees) based on a simultaneous processing of several data streams originating from sensors installed in these dikes. Applied methods are especially valuable in cases where lack of information or computational resources prohibit computing the state of the dike with finite element and other mathematical models. The data-driven methods are part of the artificial intelligence (Al) component of the 'Urbanflood' early warning system. This Al component includes pre-processing (e.g., gap filling and measurements synchronization procedures) of data streams, feature extraction and anomaly detection by one-side (also known as one-class) classification methods. Our approach has been successfully validated during a non-destructive piping experiment at the Zeeland dike (The Netherlands).
机译：我们基于对堤防中安装的传感器的多个数据流的同步处理，描述了堤防（堤坝/堤坝）中异常状况的检测方法和结果。在缺乏信息或计算资源无法使用有限元和其他数学模型计算堤防状态的情况下，应用的方法尤其有价值。数据驱动方法是“城市洪水”预警系统的人工智能（Al）组件的一部分。该A1组件包括数据流的预处理（例如，间隙填充和测量同步过程），特征提取和通过单侧（也称为一类）分类方法的异常检测。在Zeeland堤防（荷兰）的无损管道试验中，我们的方法已成功得到验证。

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  • 来源
    《Journal of Hydroinformatics》 |2014年第5期|1025-1043|共19页
  • 作者

    A. L. Pyayt; A. P. Kozionov; V. T. Kusherbaeva; I. I. Mokhov; V. V. Krzhizhanovskaya; B. J. Broekhuijsen; R. J. Meijer; P. M. A. Sloot;

  • 作者单位

    Siemens, Corporate Technology, Volynskiy lane 3A, St Petersburg, 191186, Russia,University of Amsterdam, Computational Science, Science Park 904, 1098 XH, Amsterdam, The Netherlands;

    Siemens, Corporate Technology, Volynskiy lane 3A, St Petersburg, 191186, Russia,St Petersburg State University of Aerospace Instrumentation, Bolshaya Morskaia 67, St Petersburg 190000, Russia;

    Siemens, Corporate Technology, Volynskiy lane 3A, St Petersburg, 191186, Russia;

    Siemens, Corporate Technology, Volynskiy lane 3A, St Petersburg, 191186, Russia;

    University of Amsterdam, Computational Science, Science Park 904, 1098 XH, Amsterdam, The Netherlands,National Research University ITMO, St Petersburg 197101, Russia,St Petersburg State Polytechnic University, St Petersburg 195251, Russia;

    Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), Eemsgolaan 3 NL-9727 DW, Groningen, The Netherlands;

    University of Amsterdam, Computational Science, Science Park 904, 1098 XH, Amsterdam, The Netherlands,Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), Eemsgolaan 3 NL-9727 DW, Groningen, The Netherlands;

    University of Amsterdam, Computational Science, Science Park 904, 1098 XH, Amsterdam, The Netherlands,National Research University ITMO, St Petersburg 197101, Russia,Nanyang Technological University, Singapore 639798;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    anomaly detection; levee monitoring; one-side classification; 'Urbanflood';

    机译：异常检测;堤防监控;单面分类;“城市洪水”;

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