Automatic Classification of Voltage Events Using the Support Vector Machine Method
نویسندگان
چکیده
Recorded disturbances are often evaluated manually by specialists. However, a lot of time could be saved if a majority of the recorded information could be classified automatically. This paper proposes a novel classification system based on the Support Vector Machine method for automatic classification of seven types of voltage disturbances. The performance of the classification system was investigated using synthetically generated training data and the test data originated from real disturbances recorded in two different power networks. The conducted classification tests showed an overall detection rate of 81.6%, 91.9% and 99.5% respectively. .
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