A Prediction on the Pollution Level of Outdoor Insulator with Regression Analysis

회귀분석을 활용한 옥외 절연물의 오손도 예측

  • 최남호 (충남대학교 정보통신인력양성사업단) ;
  • 구경완 (영동대학교 전자공학부) ;
  • 한상옥 (충남대학교 전기공학과)
  • Published : 2003.03.01

Abstract

The degree of contamination on outdoor insulator is ons of the most importance factor to determine the pollution level of outdoor insulation, and the sea salt is known as the most dangerous pollutant. As shown through the preceding study, the generation of salt pollutant and the pollution degree of outdoor insulator have a close relation with meteorological conditions, such as wind velocity, wind direction, precipitation and so fourth. So, in this paper, we made an investigation on the prediction method, a statistical estimation technique for equivalent salt deposit density of outdoor insulator with multiple linear regression analysis. From the results of the analysis, we proved the superiority of the prediction method in which the variables had a very close(about 0.9) correlation coefficient. And the results could be applied to establish the Pollution Prediction System for power utilities, and the system could provide an invaluable information for the design and maintenance of outdoor insulation system.

Keywords

Pollution;Prediction;Regression analysis;Equivalent salt deposit density;Outdoor Insulator

References

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