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기상자료 보간을 통한 송전선로 갤러핑 사고 발생확률 예측
이정훈(Junghoon Lee),정호연(Hoyeon Jung),정형조(Hyung-Jo Jung) 한국소음진동공학회 2016 한국소음진동공학회 학술대회논문집 Vol.2016 No.4
Galloping phenomenon is one of the most serious vibration problems on transmission line. Even though transmission power lines are designed to prevent galloping, they can be extensively damaged due to aerodynamic instabilities, caused by icing and snow accretion. In this study, occurrence conditions of galloping phenomenon on the transmission line were analyzed by using a logistic regression model. In order to construct a regression model, climate information were obtained from Automatic Weather Station (AWS) provided by Korea Meteorological Administration (KMA). Because locations of AWS and transmission line are different, it was necessary to obtain exact weather condition on the transmission line by using estimation of the atmospheric condition. In order to estimate the weather condition, a Kriging process which was one of the interpolation techniques was used. Finally, the logistic regression model was constructed and showed good performance through cross validation.
이진환(JinHwan Lee),이정훈(JungHoon Lee),정호연(HoYeon Jung),정형조(Hyung-Jo Jung) 한국소음진동공학회 2015 한국소음진동공학회 학술대회논문집 Vol.2015 No.4
겨울철 송전선로에서 발생하는 Galloping은 여러 가지 기후 및 지형요인에 의해 발생한다. 그 중 기후요인과 갤러핑 발생확률과의 상관관계를 파악하기 위하여 AWS(자동기상관측장비) 데이터를 활용, 분석하였다. 본연구를 통하여 풍속, 풍향각, 풍향 표준편차 및 평균기온 등의 기후요 인들과 갤러핑 발생과의 연관성을 파악하고자 한다. Galloping is caused by various climatic and geological factors. AWS(Automated Weather Station) data is analyzed to find the correlation between climatic factors and probability of galloping occurrence. Through analyzing the relationship between climactic factors such as average and standard deviation of Wind speed, direction, and temperature and the occurence of galloping we want to know correlation between climate factor and galloping.