Resarch of Mechanical Components´ Performance Degradation Based on Dynamic Fuzzy Neural Network

Once the Five-axis CNC machine tools´ breakdown of mechanical systems occurred, which maintenance will take for a long time, and result in huge economic losses. In this paper, adopting sensor installation, collecting typical mechanical components´ signal, such as vibration, temperature of the CNC machine tools, building mechanical components performance-degradation model which based on the dynamic fuzzy neural network, to achieve the condition monitoring, fault vibration and life prediction of mechanical components.