Bearing Fault Diagnosis System Based on Edge Implementation of Gramian Angle Field
In order to solve the problems of complex model deployment process and waste of resources at the acquisition end caused by encoding one-dimensional signals into two-dimensional feature matrices before 2D-CNN bearing fault diagnosis,a bearing fault diagnosis system based on the implementation of Gram's corner field edges was designed.The system took ZYNQ as the core,completed the signal preprocessing such as Gram angle field encoding through the PL(programmable logic)end,and used Ethernet to transmit the feature matrix to the host computer,which was input to the 2D-CNN model for fault diagnosis.In terms of hardware,the power supply circuit and signal conditioning circuit were designed to realize A/D conversion.The test results show that the system acquisition accuracy is greater than 95%,the dynamic range is 97.45 dB,the bearing fault diagnosis accuracy is greater than 95%,and the 2D-CNN bearing fault detection process is simplified.
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