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Implementation of I-kaz with Teager-Kaiser energy operator in solving leakage problem using synthetic signal

机译:用茶叶-Kaiser能量运营商实现I-KAZ,在使用合成信号解决泄漏问题

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Transient event usually happen due to pressure surge inside water pipeline network by either opening or closing valve rapidly or water hammer phenomena.This paper focus on identification of leak signature using Empirical Mode Decomposition(EMD)with the implementation of Ikaz-kurtosis ratio while Teager Kaiser Energy Operator(TKEO)use as instantaneous frequency analysis(IFA).Two synthetic signal with different pipe characteristics was construct using transmission line modelling(TLM).It is show that Ikaz-kurtosis ratio give good result in selecting the intrinsic mode function(IMF)after EMD decomposed the signal into a series of IMFs.TKEO as post processing analysis extract all the information inside the signal that contaminated with noise.Its show that leakage position can be localize with maximum error less 7.3%.Meanwhile,Outlet position recorded 3.4% maximum.This conclude that this method apply for synthetic signal is acceptable for leakage detection.
机译:瞬态事件通常由于水管网络内的压力浪涌快速或水锤现象而导致的瞬间发生。本文重点使用经验模型分解(EMD)在茶叶kaiser的实施中使用经验模型分解(EMD)识别泄漏签名能量运算符(TKEO)用作瞬时频率分析(IFA).TWO具有不同管道特性的合成信号是使用传输线材建模(TLM)构建的。据表明,IKAZ-Kurtosis比率在选择内在模式功能方面会产生良好的结果(IMF )在EMD将信号分解成一系列IMFS.TKEO之后,因为后处理分析提取用噪声污染的信号内的所有信息显示出漏电位置可以通过最大误差较少7.3%.Meanwhile,录制的出口位置记录3.4 %最高。这一结论是,该方法适用于合成信号可用于泄漏检测。

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