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Description
  • The knowledge of stochastic breakdown behaviour of environmental friendly gas mixtures become more and more important with respect to the required replacement of SF6 - insulated apparatus. To obtain the necessary withstand values of breakdown voltage at the variety of desired parameters a statistical treatment of the measured data is required. The paper deals with the estimation of these values typical for such type of gas- insulated systems e.g. the approximation by a theoretical distribution function and necessary conditions. Problems at estimation will be discussed as non-conventional statistical treatment including some recommendations for their overcoming.
  • The knowledge of stochastic breakdown behaviour of environmental friendly gas mixtures become more and more important with respect to the required replacement of SF6 - insulated apparatus. To obtain the necessary withstand values of breakdown voltage at the variety of desired parameters a statistical treatment of the measured data is required. The paper deals with the estimation of these values typical for such type of gas- insulated systems e.g. the approximation by a theoretical distribution function and necessary conditions. Problems at estimation will be discussed as non-conventional statistical treatment including some recommendations for their overcoming. (en)
Title
  • Aspects of statistical treatment of electrical breakdown behaviour in gas-insulated apparatus
  • Aspects of statistical treatment of electrical breakdown behaviour in gas-insulated apparatus (en)
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  • Aspects of statistical treatment of electrical breakdown behaviour in gas-insulated apparatus
  • Aspects of statistical treatment of electrical breakdown behaviour in gas-insulated apparatus (en)
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  • RIV/49777513:23220/14:43924170!RIV15-MSM-23220___
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  • 4194
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  • RIV/49777513:23220/14:43924170
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  • distribution function; gasinsulated systems; breakdown behaviour; statistical treatment (en)
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  • [2D4BBF82D403]
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  • Brno
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  • Piscataway
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  • Proceedings of the 2014 15th International Scientific Conference on Electric Power Engineering (EPE 2014)
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  • Haller, Rainer
  • Martínek, Petr
  • Müllerová, Eva
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number of pages
http://bibframe.org/vocab/doi
  • 10.1109/EPE.2014.6839535
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  • IEEE
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  • 978-1-4799-3806-3
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  • 23220
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