本文選題：泄漏定位　切入點：氣體管道　出處：《儀器儀表學報》2017年04期

【摘要】：針對氣體管道泄漏聲發(fā)射信號的多模態(tài)、頻散特性導致互相關泄漏定位誤差大的問題,提出采用單一非頻散模態(tài)提取的氣體管道泄漏聲發(fā)射定位方法。對檢測信號的互譜加窗,并根據(jù)模態(tài)波數(shù)確定窗參數(shù),可獲得泄漏聲發(fā)射信號的單一非頻散模態(tài)導波的互譜。對單一非頻散模態(tài)導波的互譜進行傅里葉反變換,得到泄漏聲發(fā)射中單一非頻散模態(tài)信號的互相關函數(shù)以及時延估計,就可以采用單一非頻散模態(tài)聲速,更準確計算出泄漏位置。對氣體管道泄漏進行定位實驗,相比用未經(jīng)分解的泄漏聲發(fā)射信號進行定位,由于聲發(fā)射單一非頻散模態(tài)信號的相關性增強,且選用的聲速更準確,定位相對誤差平均降低7%以上。這表明,通過提取泄漏信號互譜的單一非頻散模態(tài)成分進行時延估計,可以提高泄漏檢測的有效性和減小定位誤差。
[Abstract]:Aiming at the problem that the multi-mode and dispersion characteristics of acoustic emission signals of gas pipeline lead to large cross-correlation leakage location error, a single non-dispersive mode extraction method for gas pipeline leakage acoustic emission location is proposed.By windowing the cross-spectrum of the detection signal and determining the window parameters according to the modal wavenumber, the cross-spectrum of the single non-dispersive mode guided wave of the leaky acoustic emission signal can be obtained.The cross-correlation function and the time delay estimation of the single non-dispersive mode signal in the leaky acoustic emission are obtained by Fourier inverse transformation of the cross-spectrum of the single non-dispersive mode guided wave, and the single non-dispersive mode sound velocity can be adopted.More accurate calculation of leakage location.Compared with the undecomposed acoustic emission signal, the correlation of the single non-dispersive mode signal of acoustic emission is enhanced, and the sound velocity is more accurate than that of the undecomposed acoustic emission signal.The relative error of positioning is reduced by more than 7% on average.It is shown that the validity of leak detection can be improved and the location error can be reduced by extracting a single non-dispersive mode component of the leakage signal cross-spectrum for time delay estimation.
【作者單位】： 廣西區(qū)氣象技術裝備中心;重慶郵電大學工業(yè)物聯(lián)網(wǎng)與網(wǎng)絡化控制教育部重點實驗室;
【基金】：國家高技術研究發(fā)展計劃(863計劃)(2015AA043801) 重慶市基礎與前沿研究計劃(cstc2015jcyj A40010) 重慶市教委科學技術研究項目(KJ1500423) 重慶郵電大學科研啟動基金(A2015-13)、重慶郵電大學青年科學研究項目(A2015-66)資助
【分類號】：TE973.6

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