Research on Automatic Identification of Internal Mechanical Damage in Power Transformers
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.
power transformerinternal mechanical damageautomated identificationfusion model
万方数据
维普
