摘要
针对采集到的管道负压波信号中混杂有大量噪声的问题 ,在MATLAB6 1软件环境下 ,采用小波变换的方法对负压波信号进行滤波。计算过程中 ,小波基函数选取为Haar小波 ,尺度水平为 5 ,滤波结果表明该方法可以有效地消除原始信号中的一些干扰信号而未影响到原始信号中本身包含的尖峰细节信息 ,提高了采集信号的信噪比 ,从而为实现准确的泄漏判断和泄漏点的定位提供了基础。
In view of noise signal jumbled in the negative pressure signals of pipelines, the wavelet algorithm is used to filter the noise signal by means of the software MATLAB 6.1. In the course of calculation, Haar wavelet is selected as base wavelet and the level is 5. The result indicates that the noise signal is removed from the original signal while the original pinnacle detail information is not affected. The signal-to-noise ratio of the acquired signal is improved, therefore a basis for precise leakage detection and location is provided.
出处
《石油机械》
北大核心
2004年第5期10-12,67,共3页
China Petroleum Machinery
基金
辽宁省自然科学基金项目 (编号 :2 0 0 2 2 15 9)
