基于S变换局部奇异值分解的过电压特征提取

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Abstract A new algorithm to extract overvoltage features as identification parameters is proposed with consideration of the irregularity of field acquired overvoltage. According to this algorithm, the time-frequency matrix of zero sequence voltage, which is obtained by S transform, is divided into submatrixs. Then, by calculating the maximum singular value of each submatrixs, the overvoltage features is constructed by utilizing the singular value difference between different frequency band or the whole time-frequency space. The test results of field acquired overvoltage data, such as lightning induced overvoltage and so on, indicate that the feature extraction algorithm based on S transform and local singular value decomposition is effective.

Key words： Overvoltage extract feature S transform singular value decomposition local singular value feature

Received: 08 April 2009 Published: 04 March 2014

PACS:

TM835.1

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	Articles by authors
	Du Lin
	Dai Bin
	Lu Guojun
	Sun Caixin
	Wang Youyuan

Cite this article:

Du Lin,Dai Bin,Lu Guojun等. Overvoltage Features Extraction Based on S Transform and Local Singular Value Decomposition[J]. Transactions of China Electrotechnical Society, 2010, 25(12): 147-153.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2010/V25/I12/147

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