Failure Warning Algorithm of Wind Turbine Transmission Chain Based on Edge AI Computing Architecture
There are relatively few samples that failure in the operation of wind turbine,while the number of samples in normal operation is usually more,which leads to the unbalanced sample distribution when training the model.This paper,the fault warning algorithm of wind turbine based on edge AI was proposed.Based on the sample data,the key features of the original input data;the support vector machine algorithm was used to complete the establishment of the fault warning mechanism,the nonlinear kernel function was intro-duced to implement the optimal calculation and realize the fault warning data attribute classification;based on the edge AI computing architecture,according to the characteristics of the wind turbine transmission chain.The experimental results show that the proposed method can warn the failure of the gearbox and the main bearing,the active warning accuracy is higher than 80%,the fault warning curve and the actual curve fit higher,and the fault warning effect is better.
edge AI computing architecturewind turbinetransmission chainfault warning
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