Multi-Sensor Fusion Prediction and Test Verification of Tool Remaining Service Life
In order to improve the predictive ability of tool residual service life prediction,a multi-sensor fusion based residual service life prediction method was designed.With the help of multi-sensor data,the model can be dynamically updated jointly,and the remaining service life can be accurately predicted by fusing multi-sensor data.The results show that the model state and parameter information can be updated online based on the data of sensitive measuring points,so as to obtain the real-time prediction results of the remaining service life of mechanical equipment.After analyzing the life prediction curves of six groups of tools,it is found that the prediction results of fusion prediction method with sensor have high advantages,which shows that the prediction results of the proposed method are of high accuracy.
mechanical equipmentremaining service lifesensor fusiontoolforecast
NETL
NSTL
万方数据
