Intelligent Recognition Method for Transformer Acoustic Signal Based on MVF Algorithm

This paper proposes a transformer acoustic signal intelligent identification method based on MVF algorithm to analyze the transformer noise signal, extract the fault features, and realize the fault diagnosis. Through the multi-perspective feature extraction, selection and fusion, the multi-dimensional collection that can effectively represent the operating state of the transformer is constructed, and the accurate identification of the transformer operating state is realized through the parameter optimization support vector machine. The examples show that the proposed method can identify the operating status of transformer.