双小波非凸稀疏正则化去噪算法研究

doi:10.3969/j.issn.1000-1158.2021.01.14

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摘要针对航空发动机ECT滑油监测数据在采集传输过程中易受噪声干扰而影响数据有效特征提取的问题,提出了一种双小波去噪算法。在2个小波域下对数据进行分解,通过阈值函数进行滤波,利用小波系数的分布差异,迫使2个小波域下的去噪信号相同,反正切函数作为罚函数,得到更加稀疏的系数表达。实验结果表明:与传统的小波去噪方法相比,连续信号和阶跃信号的平均信噪比提高了约2.3dB和4.2dB,去噪效果得到优化。

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	马敏
	王涛

关键词 ：计量学, 滑油监测, ECT数据, 双小波去噪, 反正切函数

Abstract：The aircraft engine ECT oil monitoring data is affected by various noises during the acquisition and transmission process, which affects the extraction of effective features of the data. A double wavelet denoising (DWAD) algorithm is proposed for this problem. In the two wavelet domains, the data is decomposed, filtered by the threshold function, and the difference of the wavelet coefficient distribution is used to force the denoising signals in the two wavelet domains to be the same. The inverse tangent function is used as a penalty function to obtain a more sparse coefficient expression. The experimental results show that compared with the traditional wavelet denoising method, the average signal-to-noise ratio of continuous signal and step signal is improved by 2.3dB and 4.2dB, the denoising effect is optimized.

Key words： metrology oil monitoring ECT data double wavelet denoising arctangent function

收稿日期: 2019-04-08 发布日期: 2021-01-19

PACS:

TB973

基金资助:国家自然科学基金(61401466);中央高校基金(3122013C007);国家自然科学基金委员会与中国民用航空局联合资助项目(U1733119);民航科技资助项目(20150220)

作者简介: 马敏(1971-),女,安徽霍邱人,中国民航大学教授,主要研究方向为无损检测技术及新型传感器。Email: mm5739@163.com

引用本文:

马敏,王涛. 双小波非凸稀疏正则化去噪算法研究[J]. 计量学报, 2021, 42(1): 85-90.
MA Min,WANG Tao. Research on Double Wavelet Nonconvex Sparse Regularization Denoising Algorithm. Acta Metrologica Sinica, 2021, 42(1): 85-90.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2021.01.14 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2021/V42/I1/85

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