When using traditional judgment methods to identify internal mechanical damage in power transformers,there are difficulties and inaccuracies in identification.Therefore,a fusion recognition model for internal mechanical damage in power transformers is constructed to effectively identify and judge various internal mechanical damages.The application of CNN and LSTM algorithms has improved the overall recognition efficiency of the model.Through simulation experiments,the accuracy index and cross entropy loss index were used to verify the high application value of this model compared to traditional judgment methods.
关键词
电力变压器/内部机械损伤/自动化识别/融合模型
Key words
power transformer/internal mechanical damage/automated identification/fusion model
维普
万方数据