| 摘要: |
| 随着高频开关技术的发展，大量电力电子设备的应用除导致了低频谐波发射外，也引发了2~150 kHz范围内超高次谐波发射现象，由此所带来的高频电磁干扰等问题越发突出。超高次谐波信号分布频带宽、幅值小，实际工程应用中对采样频率要求较高，产生的数据量大，现有检测算法难以同时兼顾低数据存储量与高频域分辨率的需求。针对这一矛盾，利用超高次谐波信号的离群点特性，在偏态分布模型的基础上，结合参数自适应的基于密度的噪声应用空间聚类（Density-based Spatial Clustering of Applications with Noise，DBSCAN）算法，提出了一种新的超高次谐波精确量化算法（Skewed Distribution Density-based Spatial Clustering of Applications with Noise，SD-DBSCAN）。该算法检测结果分辨率可达5 Hz，且数据量低于原始频谱的0.05%，可同时满足高分辨率和低数据量的要求。最后，通过仿真和实测平台对所提算法的有效性进行了论证。基于所提算法，可探究并形成监控及测量超高次谐波发射影响的全新方法和技术，为超高次谐波领域的研究提供理论依据和实践经验。 |
| 关键词: 高频电磁干扰 超高次谐波检测 离群点检测 DBSCAN算法 |
| DOI：10.20079/j.issn.1001-893x.240914002 |
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| 基金项目: |
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| Supraharmonic Detection Algorithm Based on Outlier Detection Theory |
| ZHOU Hui,YU Tiexin |
| (1.Sichuan Energy Internet Research Institute，Tsinghua University，Chengdu 610036，China;2.Chengdu Spaceon Electronics Co.，Ltd.，Chengdu 610036，China) |
| Abstract: |
| With the development of high-frequency switching technology，the application of a large number of power electronic equipment not only leads to low-frequency harmonic emission，but also causes supraharmonic emission in the range of 2~150 kHz，which brings more and more problems such as high-frequency electromagnetic interference.The supraharmonic signals have a wide distribution bandwidth and small amplitude.In actual engineering applications，the sampling frequency requirements for such signals are high，and the amount of data generated is large.Existing detection algorithms are difficult to simultaneously take into account the requirements of low data storage capacity and high-frequency domain resolution.In order to solve this contradiction，according to the outlier characteristics of supraharmonic signals，on the basis of the skewed distribution model，combined with the improved Density-based Spatial Clustering of Applications with Noise(DBSCAN) algorithm，a new supraharmonic accurate quantization algorithm，Skewed Distribution Density-Based Spatial Clustering of Applications with Noise(SD-DBSCAN)，is proposed.The resolution of the detection results of the algorithm can reach 5 Hz，and the data volume is less than 0.05% of the original spectrum，which can meet the requirements of high resolution and low data volume at the same time.Finally，the effectiveness of the proposed algorithm is demonstrated through simulation and testing platforms.Based on the algorithm proposed，a new method and technology for monitoring and measuring the impact of supraharmonic emissions can be explored and developed，providing a theoretical basis and practical experience for research in the field of supraharmonic generation. |
| Key words: high-frequency electromagnetic interference supraharmonic detection outlier detection DBSCAN algorithm |
《电讯技术》编辑部 