Application of Neural Network System in Gearbox Fault Mode Recognition Analysis
In order to explore the improvement path of the accuracy of gearbox fault recognition analysis,combined with a certain type of coal mining machine planetary gearbox as a case study,first of all,through the virtual prototype technology to build a simulation model,to provide basic data for the fault information;and then based on the convolutional neural network(CNN),to build a neural network system for the gearbox fault pattern recognition analysis;and finally,to test the performance of the system.Finally,the performance of the system is tested.The test results show that the system is more advantageous in terms of the accuracy of fault recognition and analysis,which proves that it has potential application value.
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