Research on Hydraulic Press Status Monitoring System Based on Neural Networks
Neural network is an artificial intelligence model similar to the human nervous system,which can com-bine and filter traditional monitoring data to improve the accuracy of fault detection.To improve the fault evaluation performance of the hydraulic press status monitoring system,a new solution for equipment status monitoring is pro-posed by utilizing the advantages of neural network-based machine learning methods.Neural network model was trained and features were extracted from a large amount of data to achieve accurate identification of faults in hydrau-lic press monitoring systems.
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