Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference (한국조명전기설비학회:학술대회논문집)
- 2001.11a
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- Pages.199-202
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- 2001
Analysis of the Correlation on the Weather Conditions and the Contamination Degree Using Mu lisle Regression Method
다중회귀를 이용한 기후와 오손도 간의 상관관계 분석
Abstract
This paper presents the correlation on the contamination degree and weather conditions using the multiple regression of the statistic method. The cotamination is a significant factor in the insulation system. The major factor is natural contamination, and the most is the salt. The salt contamination is occured by the weather conditions. The weather contaminations are wind, precipitation, temperature, relative humidity, etc. The effects of those are different, and the correlation is showed numerically by using the multiple regression method of the statistic method. With this, the estimation of the equivalent salt deposit density(ESDD) becomes possible by the changes of the weather conditions.
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