电焊机2023，Vol.53Issue(12)：40-45,6.DOI:10.7512/j.issn.1001-2303.2023.12.06
面向水下焊接电信号的粒子群优化小波软阈值去噪法研究
De-Noising for Underwater Welding Electrical Signals by PSO Wavelet Soft Threshold Method
李康 1吕卫文 1夏卫生1
作者信息
- 1. 华中科技大学 材料科学与工程学院 材料成形与模具技术国家重点实验室,湖北 武汉 430074
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摘要
Abstract
In order to reduce noise interference and improve detection accuracy,a wavelet soft threshold denoising method based on particle swarm optimization(PSO)for electrical signals of underwater welding was presented.Through wavelet de-composition of the signals,the signal-to-noise ratio was selected as the evaluation index,and the optimal threshold value was searched for the global iteratively to complete the signal denoising.The denoising experiments for the simulated and the measured electrical signals of underwater welding process were carried out.It is proved that the signal-to-noise ratio was im-proved,the root mean square error was reduced,and the detailed information of the signals can be effectively preserved after denoising by this algorithm.It is suitable for the extraction of electrical signals features of underwater welding,laying the foundation for the online monitoring of underwater welding.关键词
水下焊接/粒子群优化算法/小波软阈值/电信号去噪Key words
underwater welding/particle swarm optimization algorithm/wavelet soft threshold/electrical signal denoising分类
矿业与冶金引用本文复制引用
李康,吕卫文,夏卫生..面向水下焊接电信号的粒子群优化小波软阈值去噪法研究[J].电焊机,2023,53(12):40-45,6.
