Research on Fault Diagnosis Technology of Power Transmission Lines Based on Neural Network
With the increasing complexity of the power system,the traditional fault diagnosis methods have gradually been unable to meet the demand of high efficiency and accuracy.Neural network is an advanced machine learning technology,which shows great potential in the field of fault diagnosis of power transmission lines due to its powerful feature learning and pattern recognition capabilities.The article explores in detail the fault diagnosis technology of power transmission lines based on neural networks,including the architecture selection and optimization of neural networks,feature engineering and data processing,training strategies and parameter optimization,as well as performance evaluation and verification.The effectiveness of the proposed method is verified through technical application testing.
万方数据
维普
