Early warning method for transmission line galloping based on SVM and AdaBoost bi-level classifiers
IET Generation, Transmission & Distribution（2016）
摘要
Transmission line galloping often causes structural and electrical failures, which is a serious threat to the security of transmission systems. Through analysing the influence factors of galloping, it reveals that weather conditions are the most significant excitation factors and conductors of any voltage level and region may gallop when the apt-galloping weather conditions are satisfied. This stu...
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关键词
data mining,failure analysis,learning (artificial intelligence),overhead line conductors,overhead line mechanical characteristics,pattern classification,power engineering computing,power grids,power system security,power transmission lines,power transmission reliability,support vector machines,weather forecasting
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