The diagnostic method of mining equipment based on a network with mixed function activation

Abstract

In the article described the method complex diagnostic of mining equipment, based on a neural network with mixed functions activation. The criterion for the effectiveness of the proposed model is the adequacy of the object. For the numerical study of the proposed method was used data from sensors measuring temperature and vibration mining equipment.