CAJ | 학술논문

通过声波信号在线分析反应器内物料特征具有快速、无损、安全、不侵入流场的优点.讨论了利用声发射信号在线分析搅拌釜内物料浓度与粒度的方法.先通过小波变换多尺度分解原始声信号,然后以分解后各细节信号小波系数幅值绝对值加和为特征变量,釜内物料浓度或颗粒平均粒度和声发射信号的关系再用判别分析方法加以区分,考察了信号长度、分解尺度以及不同小波对判别准确性的影响,结果表明,当物料的浓度一定时,基于多尺度分析的声测量方法可以准确地对釜内物料的粒度进行分类.
통과성파신호재선분석반응기내물료특정구유쾌속、무손、안전、불침입류장적우점.토론료이용성발사신호재선분석교반부내물료농도여립도적방법.선통과소파변환다척도분해원시성신호,연후이분해후각세절신호소파계수폭치절대치가화위특정변량,부내물료농도혹과립평균립도화성발사신호적관계재용판별분석방법가이구분,고찰료신호장도、분해척도이급불동소파대판별준학성적영향,결과표명,당물료적농도일정시,기우다척도분석적성측량방법가이준학지대부내물료적립도진행분류.
It is advantage to analysize material's character in a stirrer by acoustic emission signals for the sake of celerity,lossless,safe and non-invasive.Method on how to measure the concentration and the average particle size on-line in a stirrer by acoustic emission(AE)signals had been detailedly discussed.Original AE signals were firstly multi-scale decomposed by the wavelet.After that,the absolute wavelet coefficients of the approximation and the detail signals were summed.The summations(energy of signals)that had relationship with the material concentration and the average particle size were used as characteristic variables of discriminant analysis.Effects of the signal length,decomposition level and wavelet species on classification accuracy had been discussed.The results show the concentration and the particle size in a stirrer could be clasisfied with high accuracy by discrimination analysis employed with multiscale analysis.