基于改进的遗传算法在输油管道泄漏点定位中的应用

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。

Leakage orientation technique for oil pipelines based on the improved genetic algorithm

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.