Research on Improved Wavelet Threshold Denoising Method for Non-Contact Force and Magnetic Signals

被引：7

作者：

Li, Xiaoxiao ^{[1
]}

Liao, Kexi ^{[2
]}

He, Guoxi ^{[2
]}

Zhao, Jianhua ^{[2
]}

机构：

[1] Sinopec Petr Engn Zhongyuan Co Ltd, Zhengzhou 450007, Peoples R China

[2] Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploitat, Chengdu 610500, Peoples R China

来源：

ELECTRONICS | 2023年 / 12卷 / 05期

基金：

中国国家自然科学基金;

关键词：

force magnetic signal; wavelet denoising method; adaptive threshold; genetic algorithm; wavelet basis function; FILTER; NOISE; DECOMPOSITION;

D O I：

10.3390/electronics12051244

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to solve the problem of noise interference in the collected magneto mechanical signals, a new wavelet shrinkage threshold based on adaptive estimation is proposed. Based on the shortcomings of the traditional threshold function, an improved threshold function is proposed, and the parameters of the threshold function are solved by the improved genetic algorithm, and the optimal denoising effect is finally obtained. The new threshold function can not only make up the defects of each threshold function, ensure the continuity of threshold function, but also flexibly adjust the threshold to adapt to different noise conditions, and solve the deviation caused by inherent threshold function, and protect the useful information with noise signals.

引用

页数：16

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