基于陣列波束形成技術(shù)的壓縮機(jī)噪聲測(cè)量與控制
[Abstract]:In the field of non-contact mechanical fault diagnosis and indoor noise control, spatial acoustic field imaging is of great significance. However, the beamforming method based on microphone array is a stable and reliable method for identifying and imaging noise sources. It is mainly based on the phase difference of acoustic signals received by microphone at different positions on the array surface and is compensated by special scanning. In order to achieve the goal of reconstruction and identification of the target sound source spatial orientation and energy intensity. According to the generated spatial field intensity cloud map, the characteristics of mechanical equipment are analyzed. In this paper, the beamforming sound source imaging method is introduced by using distributed array source measurement technology. The focusing principle of beam-forming under the background of plane wave and spherical wave is discussed, and the mathematical deduction and simulation are compared. The parameters such as spatial sampling rate, array spacing, array number, array angle and measurement distance, which restrict the imaging resolution and cut-off frequency, are studied, and the optimized array element parameters are obtained for the excellent recognition effect. Eight sets of planar microphone arrays are designed on the basis of one-dimensional array. Different evaluation indexes are used to prove the advantage of irregular rotating wheel array. In order to solve the problem of virtual image caused by limited frequency band and insufficient resolution, the three-dimensional spatial array is also analyzed and designed. The performance of the array is proved to be stable and reliable under the same number of microphones. The near field sound source imaging effect is further improved. In order to be better applied to the actual noise control engineering, the improved cross-power spectrum algorithm based on beamforming is studied. The experimental results show that the algorithm can not only focus on the main lobe, but also reduce the sidelobe. There is also a prominent ability to filter industrial background noise interference. In order to meet the requirements of acoustic diagnosis, the beam-beam frequency-domain variation algorithm is used to separate and extract the sound sources with different frequencies and amplitudes in the case of complex multi-sound sources. Relying on the noise control project of ethylene glycol compressor room of PetroChina Jilin Petrochemical Company, applying the beamforming method and adding amplitude compensation calibration processing on the basis of previous phase compensation, the noise control project has been compared with the hand-held sound level meter. The feasibility of the calibration process is proved. Through the analysis and identification of the noise sources in the workshop, the scheme of installing the sound isolating cover, damping the sound insulation board, the sound barrier and the space sound absorber to each position of the compressor room is adopted to achieve the expected goal of noise reduction and control.
【學(xué)位授予單位】:沈陽工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TB535
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 褚志剛;楊洋;蔣忠翰;;波束形成傳聲器陣列性能研究[J];傳感技術(shù)學(xué)報(bào);2011年05期
2 康立剛;;城市電廠大型機(jī)力通風(fēng)冷卻塔的噪聲控制設(shè)計(jì)[J];電力科學(xué)與工程;2010年08期
3 易新平;唐友喜;邵士海;吳桐;;分布式發(fā)射天線MIMO信號(hào)的最優(yōu)線性檢測(cè)[J];電子學(xué)報(bào);2009年12期
4 時(shí)勝國(guó);郭小霞;王佳典;胡博;楊德森;;矢量陣測(cè)量統(tǒng)計(jì)最優(yōu)近場(chǎng)聲全息的運(yùn)動(dòng)聲源識(shí)別方法與實(shí)驗(yàn)研究[J];哈爾濱工程大學(xué)學(xué)報(bào);2010年07期
5 陳心昭;;噪聲源識(shí)別技術(shù)的進(jìn)展[J];合肥工業(yè)大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年05期
6 李加慶;陳進(jìn);史重九;;基于聲全息的故障診斷方法[J];機(jī)械工程學(xué)報(bào);2009年05期
7 楊洋;倪計(jì)民;褚志剛;石秀勇;;基于互譜成像函數(shù)波束形成的發(fā)動(dòng)機(jī)噪聲源識(shí)別[J];內(nèi)燃機(jī)工程;2012年03期
8 任國(guó)棟;畢傳興;陳劍;;互譜波束形成聲源識(shí)別中的傳聲器陣列布局研究[J];機(jī)械工程與自動(dòng)化;2009年05期
9 勾軼;陳長(zhǎng)征;高一博;;振動(dòng)篩噪聲采集分析及治理[J];沈陽工業(yè)大學(xué)學(xué)報(bào);2009年02期
10 劉哲;陳日林;滕鵬曉;楊亦春;;基于平面?zhèn)髀暺麝嚵械穆曉炊ㄎ幌到y(tǒng)[J];聲學(xué)技術(shù);2011年02期
相關(guān)碩士學(xué)位論文 前6條
1 杜娟;基于聲陣列的波束形成技術(shù)研究[D];中北大學(xué);2011年
2 唐金華;寬帶波束形成器的研究與設(shè)計(jì)[D];南京航空航天大學(xué);2010年
3 林旗力;固定設(shè)備結(jié)構(gòu)傳播室內(nèi)噪聲排放限值研究[D];浙江大學(xué);2012年
4 趙芳芳;波束形成方法在噪聲源識(shí)別應(yīng)用中的仿真和實(shí)驗(yàn)研究[D];上海交通大學(xué);2007年
5 鄧可教;波束形成噪聲源識(shí)別方法與應(yīng)用[D];吉林大學(xué);2007年
6 張金圈;基于波束形成技術(shù)的噪聲源識(shí)別與聲場(chǎng)可視化研究[D];合肥工業(yè)大學(xué);2010年
本文編號(hào):2167411
本文鏈接:http://sikaile.net/kejilunwen/anquangongcheng/2167411.html