以降低舰船电气设备运行所受电磁串扰影响为目的，提出基于小波变换技术的舰船电气设备信号去噪抑制方法。建立舰船电气设备信号电磁串扰噪声模型，使用小波变换方法对电气设备信号噪声进行抑制，针对小波变换去噪能量泄漏大、频带混叠大等问题，使用双树复小波的实部树和虚部树进行电气设备信号分解，即保留小波分解的优点又可以完全重构电气设备信号，并结合硬阈值和软阈值函数优点，形成通用阈值函数，优化小波变换的阈值函数，保证更好信号去噪抑制效果。通过实验可以看出，该方法的应用既可以有效抑制电气设备信号中的噪声干扰，又可以保证原始信号波形不被破坏，同时在信号分解时，可以在噪声聚集的高频部分形成十分优秀的降噪效果，使信号趋近平稳状态。
To reduce the impact of electromagnetic crosstalk on the operation of ship electrical equipment, a denoising and suppression method for ship electrical equipment signals based on wavelet transform technology is studied. Establish a model for electromagnetic crosstalk noise in ship electrical equipment signals, and use wavelet transform methods to suppress electrical equipment signal noise. To address the issues of high energy leakage and frequency band aliasing in wavelet transform denoising, the real and imaginary part trees of dual tree complex wavelets are used for electrical equipment signal decomposition, which preserves the advantages of wavelet decomposition while fully reconstructing electrical equipment signals, and combines the advantages of hard threshold and soft threshold functions. Form a universal threshold function, optimize the threshold function of wavelet transform, and ensure better signal denoising and suppression effect. Through experiments, it can be seen that the application of this method can effectively suppress noise interference in electrical equipment signals, while ensuring that the original signal waveform is not damaged. At the same time, during signal decomposition, excellent noise reduction effect can be formed in the high-frequency part of noise accumulation, making the signal approach a stable state.
2023,45(23): 158-161 收稿日期：2023-05-31
DOI：10.3404/j.issn.1672-7649.2023.23.028
分类号：TP391
基金项目：工信部计划项目CBG4N21-4-2）
作者简介：洪祥(1988-),男,硕士,高级工程师,主要研究方向为电力调度控制、大容量充换电技术及综合能源服务
参考文献：
[1] 付国红, 张前丰, 程辉. 基于STM32和LabVIEW的双频激电信号采集系统设计[J]. 地球物理学进展, 2020, 35(1): 287-293.
FU Guo-hong, ZHANG Qian-feng, CHANG Hui. Design of dual-frequency IP signal acquisition system based on STM32 and LabVIEW[J]. Progress in Geophysics, 2020, 35(1): 287-293.
[2] 张文远, 李天昊. 电力线传输特性和噪声干扰对通信性能的相对影响[J]. 电力系统保护与控制, 2022, 50(7): 145-152.
[3] 胡正伟, 王志红, 畅瑞鑫, 等. 基于改进Noise2Noise算法的电力线信号去噪[J]. 电力系统保护与控制, 2023, 51(9): 32-45.
[4] 赵寿生, 汪卫国, 王丰华, 等. 基于统计特征与EMD算法的有载分接开关振动信号去噪[J]. 电工电能新技术, 2020, 39(1): 51-58.
Zhao Shou-sheng, WANG Wei-guo, WANG Feng-hua, et al. Denoising method of vibration signal of on-load tap changer based on statistical feature and EMD algorithm[J]. Advanced Technology of Electrical Engineering and Energy, 2020, 39(1): 51-58.
[5] 胡璞, 刘利民. 经验模态分解算法在角位移传感器信号去噪中的应用[J]. 传感技术学报, 2023, 36(1): 113-117.
