| 张慧杰,付冬梅.基于小波和 EMD 的电阻探针监测信号自适应去噪[J].装备环境工程,2018,15(7):44-49. ZHANG Hui-jie,FU Dong-mei.Self-adaptive Denoising of Carbon Steel Corrosion Monitoring Signal Based on EMD and Wavelet[J].Equipment Environmental Engineering,2018,15(7):44-49. |
| 基于小波和 EMD 的电阻探针监测信号自适应去噪 |
| Self-adaptive Denoising of Carbon Steel Corrosion Monitoring Signal Based on EMD and Wavelet |
| 投稿时间：2018-04-18 修订日期：2018-07-25 |
| DOI：10.7643/ issn.1672-9242.2018.07.010 |
| 中文关键词: 电阻探针 碳钢腐蚀 经验模态分解 小波阈值去噪 最大信息系数 |
| 英文关键词:resistance probe carbon steel corrosion empirical model decomposition wavelet threshold denoising maximum information coefficient |
| 基金项目:国家重点研发计划（2017YFB0702104）；海洋工程装备材料腐蚀与防护基础问题研究（NO.2014CB643300） |
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| 中文摘要: |
| 目的 从监测信号中恢复有效腐蚀信息（长期变化趋势、周期性窄带尖峰），提出一种基于经验模态分解（Empirical Mode Decomposition，EMD）和小波阈值去噪（Wavelet Threshold Denoised，WTD）相结合的自适应去噪算法（EMD-WTD）。方法 先将信号进行 EMD 分解，利用最大信息系数（Max Information Coefficient, MIC）判断噪声主导和有效信号主导信号分量的分界点，然后将噪声主导的信号分量进行自适应小波阈值去噪。最后以人工模拟信号和电阻探针监测信号进行验证。结果 EMD-WTD 算法能有效去除噪声，信噪比可提升 10 dB 以上。结论 与多个去噪算法相比，EMD-WTD 算法能够更好地保留信号中周期性窄带尖峰信息，为后续准确建立电阻探针监测信号与环境之间的数学模型奠定了基础。 |
| 英文摘要: |
| Objective To recover effective corrosion information (long-term trends and periodic narrow-band spikes) from monitoring signal, and propose an adaptive denoising algorithm (EMD-WTD) based on Empirical Mode Decomposition (EMD) and Wavelet Threshold Denoised (WTD). Methods First, the signal was decomposed by EMD. The maximum information coefficient (MIC) was used to judge the demarcation point of the noise-dominated and effective-dominated signal components. Then the noise-dominated signal was subjected to adaptive wavelet threshold denoising. Finally, Analog signal and corrosion monitoring signal were used to validate the proposed algorithm. Results EMD-WTD algorithm could effectively remove noise with improving signal to noise ratio by more than 10dB. Conclusion EMD-WTD algorithm could better preserve the periodic narrow-band spike information than multi-denoising algorithm. Moreover, EMD-WTD algorithm lays the foundation for establishment of mathematical models of between corrosion signals and environment. |
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