Power transmission line gallop risk early-warning method based on Adaboost
A risk early warning and power transmission line technology, applied in the direction of forecasting, electrical digital data processing, data processing applications, etc., can solve problems such as poor economy and operability, differences in anti-flying effects, and lack of practical experience
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[0046] Because the physical model of existing transmission line galloping is not accurate enough, and some parameters in the model are difficult to obtain through measurement on the actual line, the practicability and accuracy of using physical models for transmission line galloping early warning are low. At this time, machine learning Theory provides us with a good early warning method. Machine learning is based on past observations to obtain more accurate predictions. It provides a method to obtain laws that cannot be obtained through principle analysis from observational data, and then use these laws to predict future data.
[0047]The present invention proposes a transmission line galloping risk early warning method based on the Adaboost algorithm. The Adaboost algorithm is an adaptive boosting (Adaptive boosting, referred to as Adaboost) algorithm in an integrated learning algorithm. The basic idea is to use a large number of general The weak classifiers are superimposed ...
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