Pattern classification of partial discharge in high voltage equipment by regression analysis

@article{Ludpa2008PatternCO,
  title={Pattern classification of partial discharge in high voltage equipment by regression analysis},
  author={S. Ludpa and Norasage Pattanadech and Monthon Leelajindakrairerk and Peerawut Yutthagowith},
  journal={2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology},
  year={2008},
  volume={2},
  pages={921-924}
}
This paper introduces a statistical classification in regression model to classify partial discharge (PD) patterns into four categories in corona: high voltage side in air, corona at low voltage side in air, surface in air, and internal discharge. There are nine independent variables from fingerprint analysis which mainly are skewness, kurtosis, asymmetry and cross correlation following Phi - q - n PD patterns. The variable independent data are divided into two group: the forms for training the… CONTINUE READING