基于小波的输油管道泄漏信号去噪处理  

Signal De-noising Processing of Pipeline Leak Based on Wavelet Analysis

作　　者：刘明亮[1] 孙来军[1] 乔常明[1] 钱海波[1] 叶光忠[1] 

机构地区：[1]黑龙江大学黑龙江省电子工程高校重点实验室,黑龙江哈尔滨150080

出　　处：《现代电子技术》2009年第23期127-129,132,共4页Modern Electronics Technique

基　　金：黑龙江省自然科学基金(F2007-07);黑龙江大学青年科学基金(QL200709)

摘　　要：基于小波分析的噪声消除方法,研究负压波法提取泄漏信号的去噪。首先介绍基于小波分析的噪声消除基本原理,然后运用小波方法对实测信号进行具体处理,在信号处理过程中考虑了不同小波基和不同的分解层数对去噪结果的影响。实验证明,合理选择小波基和小波分解的层数,能够有效滤除泄漏信号中的噪声。Based on wavelet analysis method to eliminate the noise, extraction of negative pressure wave signal denoising leak is studied. The basic principle of noise reduction is introduced based on the wavelet analysis, and then the use of wavelet methods for the specific signal processing is measured,different wavelet decomposition levels and results on the impact of denoising signal processing is considered in the signal process. The experimental results show that the noise in leakage signal can be efficiently filtered out through a reasonable choice of wavelet and wavelet decomposition of the number of layers.

关 键 词：负压波法 小波分析 噪声消除 泄漏监测 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]