CAJ | 학술논문

在负压波法的管道泄漏检测定位中，由于信号中含有很多噪声信号，通常采用小波分析法去噪，一般阈值法容易丢失信号中有用成分，因此，通过改进的遗传算法得到小波的最优阈值，对信号进行消噪处理，更好地还原了原信号。由于遗传算法存在局部收敛快的缺陷，本文提出了改进的遗传算法来精确的估计侧漏点的位置，实验表明该算法提高了泄漏点定位的精确性。
재부압파법적관도설루검측정위중，유우신호중함유흔다조성신호，통상채용소파분석법거조，일반역치법용역주실신호중유용성분，인차，통과개진적유전산법득도소파적최우역치，대신호진행소조처리，경호지환원료원신호。유우유전산법존재국부수렴쾌적결함，본문제출료개진적유전산법래정학적고계측루점적위치，실험표명해산법제고료설루점정위적정학성。
In the negative pressure wave method of pipeline leakage detection and locating ,because the signal contains a lot of noise signal, usually using the method of wavelet de-noising, useful component in general threshold method is easy to lose signal, therefore, by the improved genetic algorithm to get the optimal threshold of wavelet, the signal de-noising, to restore the original signal.Because the genetic algorithm has local convergence , this paper proposes an improved genetic algorithm to estimate accurately the side leakage location, experimental results show this algorithm can improve the accuracy of leak point location.