| 采用Hilbert-Huang变换和支持向量机的过电压分类识别方法(英文) |
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| 引用本文： | 王荆,杨庆,陈林,司马文霞.采用Hilbert-Huang变换和支持向量机的过电压分类识别方法(英文)[J].高电压技术,2012,38(8):2068-2075. |
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| 作者姓名： | 王荆 杨庆 陈林 司马文霞 |
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| 作者单位： | State Key Laboratory of Power Transmission Equipment & System Security and New Technology,Chongqing University |
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| 基金项目： | supported by National Basic Research Program of China(973 Program)(2009CB724504) |
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| 摘 要： | This paper proposes an effective method for over-voltage classification based on the Hilbert-Huang transform(HHT) method.Hilbert-Huang transform method is composed of empirical mode decomposition(EMD) and Hilbert transform.Nine kinds of common power system over-voltages are calculated and analyzed by HHT.Based on the instantaneous amplitude spectrum,Hilbert marginal spectrum and Hilbert time-frequency spectrum,three kinds of over-voltage characteristic quantities are obtained.A hierarchical classification system is built based on HHT and support vector machine(SVM).This classification system is tested by 106 field over-voltage signals,and the average classification rate is 94.3%.This research shows that HHT is an effective time-frequency analysis algorithms in the application of over-voltage classification and identification.
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| 关 键 词： | over-voltage Hilbert-Huang transform(HHT) instantaneous amplitude spectrum Hilbert marginal spectrum Hilbert time-frequency spectrum recognition |
Classification and Identification of Over-voltage Based on HHT and SVM |
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| Affiliation: | State Key Laboratory of Power Transmission Equipment＆System Security and New Technology, Chongqing University, Chongqing 400044, China |
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| Abstract: | This paper proposes an effective method for over-voltage classification based on the Hilbert-Huang transform(HHT) method.Hilbert-Huang transform method is composed of empirical mode decomposition(EMD) and Hilbert transform.Nine kinds of common power system over-voltages are calculated and analyzed by HHT.Based on the instantaneous amplitude spectrum,Hilbert marginal spectrum and Hilbert time-frequency spectrum,three kinds of over-voltage characteristic quantities are obtained.A hierarchical classification system is built based on HHT and support vector machine(SVM).This classification system is tested by 106 field over-voltage signals,and the average classification rate is 94.3%.This research shows that HHT is an effective time-frequency analysis algorithms in the application of over-voltage classification and identification. |
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| Keywords: | over-voltage Hilbert-Huang transform(HHT) instantaneous amplitude spectrum Hilbert marginal spectrum Hilbert time-frequency spectrum recognition |
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