Research and Performance Evaluation of Power Transformer Operation and Maintenance Detection Technology Based on Voice Print Feature Recognition
The article develops a power transformer operation and maintenance detection technology based on voiceprint feature recognition,which combines Mel frequency cepstral coefficients with deep confidence networks and support vector data description algorithms to improve the accuracy and efficiency of voiceprint signal analysis.The experiment shows that the DBN-SVDD algorithm has an accuracy of 97.94%in transformer defect recognition,providing technical support for the reliable operation of smart grids.
power transformer detectionvoiceprint feature recognitionMFCCDBNSVDD
NETL
NSTL
万方数据
