Intelligent Classification Method of Abnormal Vibration Signal of Electrical Equipment Based on Decision Tree
The current intelligent classification method for abnormal vibration signals of electrical equipment is not effective.Therefore,an intelligent classification method of abnormal vibration signal of electrical equipment based on decision tree is proposed.Four characteristic parameters of vibration frequency,amplitude,phase difference and peak point of signal change are extracted,and the comprehensive features are obtained by weight function superposition fitting.The decision tree algorithm is used to construct a weak signal classifier,and then the support vector machine is optimized to a strong classifier to input the signal characteristics and output the abnormal vibration signal category,so as to realize the intelligent classification of abnormal vibration signals of electrical equipment.The application results show that the proposed method can effectively identify the types of abnormal vibration signals of equipment,and the classification accuracy is high.
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