The invention provides a
power transmission line gallop risk early-warning method based on
Adaboost. The method comprises the following steps that internal reasons of gallop of
power transmission lines are classified, and statistics is carried out on meteorological feature factors in historical gallop accidents of the
power transmission lines according to the
classification result; according to the information of a power
transmission line to be predicted, the class, in the
classification result of the internal reasons of gallop, corresponding to the power
transmission line is selected, the meteorological feature factors under the conditions of the historical gallop accidents of the class are recorded to form a training sample set, a classifier is formed with an
Adaboost ensemble learning algorithm, forecast data of the meteorological feature factors of the gallop of the power
transmission line serve as input, and a gallop early-warning result of the power transmission line is obtained through the classifier; according to the early-warning result, the early-warning level of the gallop of the power transmission line is obtained through judgment. According to the power transmission line gallop risk early-warning method based on
Adaboost, the internal reasons and the external reasons influencing the gallop of the power transmission line are comprehensively considered, the historical gallop information and the weather forecast information of the power transmission line are made full use of, and the method meets the actual conditions better; the
algorithm in use is high in generalization ability, easy to
encode and high in early-warning result accuracy.