首页> 外文期刊>电子科学学刊(英文版) >WAVELET TRANSFORM THRESHOLD NOISE REDUCTION METHODS IN THE OIL PIPELINE LEAKAGE MONITORING AND POSITIONING SYSTEM
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WAVELET TRANSFORM THRESHOLD NOISE REDUCTION METHODS IN THE OIL PIPELINE LEAKAGE MONITORING AND POSITIONING SYSTEM

机译:输油管道泄漏监测定位系统中的小波变换阈值降噪方法

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摘要

This letter investigates the wavelet transform,as well as the principle and the method of the noise reduction based on wavelet transform,it chooses the threshold noise reduction,and discusses in detail the principles,features and design steps of the threshold method. Rigrsure,heursure,sqtwolog and minimization four kinds of threshold selection method are compared qualitatively,and quantitatively. The wavelet analysis toolbox of MATLAB helps to realize the computer simulation of the signal noise reduction. The graphics and calculated standard deviation of the various threshold noise reductions show that,when dealing with the actual pressure signal of the oil pipeline leakage,sqtwolog threshold selection method can effectively remove the noise. Aiming to the pressure signal of the oil pipeline leakage,the best choice is the wavelet threshold noise reduction with sqtwolog threshold. The leakage point is close to the actual position,with the relative error of less than 1%.
机译:本文研究了小波变换,以及基于小波变换的降噪原理和方法,选择了阈值降噪,并详细讨论了阈值法的原理,特点和设计步骤。定性,定量比较了Rigsure,Heursure,sqtwolog和minimum四种阈值选择方法。 MATLAB的小波分析工具箱有助于实现信号降噪的计算机仿真。各种阈值降噪的图形和计算的标准差表明,在处理输油管道泄漏的实际压力信号时,sqtwolog阈值选择方法可以有效消除噪声。针对输油管道泄漏的压力信号,最佳选择是采用sqtwolog阈值进行小波阈值降噪。泄漏点接近实际位置,相对误差小于1%。

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