本文選題：泄漏定位　切入點(diǎn)：氣體管道　出處：《儀器儀表學(xué)報(bào)》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(dǎo)致互相關(guān)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(dǎo)波的互譜。對單一非頻散模態(tài)導(dǎo)波的互譜進(jìn)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(guān)函數(shù)以及時(shí)延估計(jì),就可以采用單一非頻散模態(tài)聲速,更準(zhǔn)確計(jì)算出泄漏位置。對氣體管道泄漏進(jìn)行定位實(shí)驗(yàn),相比用未經(jīng)分解的泄漏聲發(fā)射信號進(jìn)行定位,由于聲發(fā)射單一非頻散模態(tài)信號的相關(guān)性增強(qiáng),且選用的聲速更準(zhǔn)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(jìn)行時(shí)延估計(jì),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(shù)裝備中心;重慶郵電大學(xué)工業(yè)物聯(lián)網(wǎng)與網(wǎng)絡(luò)化控制教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)(2015AA043801) 重慶市基礎(chǔ)與前沿研究計(jì)劃(cstc2015jcyj A40010) 重慶市教委科學(xué)技術(shù)研究項(xiàng)目(KJ1500423) 重慶郵電大學(xué)科研啟動(dòng)基金(A2015-13)、重慶郵電大學(xué)青年科學(xué)研究項(xiàng)目(A2015-66)資助
【分類號】：TE973.6

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本文編號：1699626