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Research and Comparison on the Algorithms of Sampled Data Preprocess in Power System On-Line Insulation Monitoring

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Advances in Control and Communication

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 137))

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Abstract

Along with the rapid development of computer technique, the precision of on-line insulation monitoring system is requested to be higher. Using statistical theory, analgorithm of preprocessing the sampling data in power system on-line insulation monitoring is presented in this paper. The wavelet transformation process used to preprocess the sampling data in on-line insulation monitoring is analyzed. The results of two methods used to preprocess the practical sampling data are given. Their effect to decrease the impulse interferences, high-frequency interferences and gross errors due to sampling element is obvious. Based on the characteristic of two algorithm programs, the paper discusses their applicable condition.

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Author information

Authors and Affiliations

  1. Henan Electric Power Dispatching & Communication Center, Zhengzhou, Henan, 450002, China

    Xuzheng Chai, Yan Li & Yi Liu

  2. College of Electrical Engineering, Wuhan University, Wuhan, Hubei, 430072, China

    Xishan Wen

Authors
  1. Xuzheng Chai
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  2. Xishan Wen
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  3. Yan Li
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  4. Yi Liu
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Corresponding author

Correspondence to Xuzheng Chai .

Editor information

Editors and Affiliations

  1. Shenzhen University, Guangdong, 518060, China, People's Republic

    Dehuai Zeng

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© 2012 Springer-Verlag Berlin Heidelberg

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Chai, X., Wen, X., Li, Y., Liu, Y. (2012). Research and Comparison on the Algorithms of Sampled Data Preprocess in Power System On-Line Insulation Monitoring. In: Zeng, D. (eds) Advances in Control and Communication. Lecture Notes in Electrical Engineering, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26007-0_92

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  • DOI: https://doi.org/10.1007/978-3-642-26007-0_92

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-26006-3

  • Online ISBN: 978-3-642-26007-0

  • eBook Packages: EngineeringEngineering (R0)

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