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Air Gap Discharge Voltage Prediction Model

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Part of the book series: Power Systems ((POWSYS))

Abstract

The proposed air insulation prediction model is established based on support vector machine. In this chapter, the theoretical basis and implementation procedure of the prediction method are introduced in detail, mainly including the fundamental of statistical learning theory and SVM, the parameter optimization methods, the feature dimension reduction methods, the sample selection method, the error analysis method and the implementation process of the prediction model.

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Correspondence to Zhibin Qiu .

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© 2019 Springer Nature Singapore Pte Ltd. and Science Press, Beijing

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Qiu, Z., Ruan, J., Shu, S. (2019). Air Gap Discharge Voltage Prediction Model. In: Air Insulation Prediction Theory and Applications. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-5163-0_3

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  • DOI: https://doi.org/10.1007/978-981-10-5163-0_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5162-3

  • Online ISBN: 978-981-10-5163-0

  • eBook Packages: EnergyEnergy (R0)

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