Abstract:The paper considers the wavelet decomposition for machine learning model to solve the problem of analyzing the shape of vibration signals in wind energy turbines. The questions of training and optimization of the parameters of the classmate method are highlighted. The principle of constructing a training sample is described. The algorithm for the instance recognition of circuit elements by vibration signals removed from wind turbines. Thus, the method of recognition of equipment elements based on sparse wavele… Show more
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