Application of Convolutional Neural Network Signal Processing in Substation Fault Diagnosis and Prediction
This paper describes the application of Convolutional Neural Networks(CNN)in signal processing,analyzes the key issues of fault diagnosis and prediction in substation maintenance,and proposes a CNN based solution.It explores CNN performance optimization solutions,including optimizing network structure,data augmentation techniques,and parameter tuning.
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