Research on State Detection of Deep Groove Ball Bearing Based on Digital Twin
Bearings are relatively prone to failure parts in rotating machinery.In order to detect their operat-ing status,a bearing status monitoring method based on digital twin technology is proposed.First,the dy-namic analysis of the rolling bearing is carried out,and then the digital twin model of the bearing is estab-lished based on the Modelica multi-domain modeling method to simulate the operating state of the bearing under different health states.Taking the three health states of rolling bearings as an example,the vibration signals are obtained through the simulation of the digital twin model.Finally,by comparing the signal ob-tained by the digital twin model with the test results of the test bench and the theoretical calculation results,it is proved that the digital twin model can effectively reflect the running state of the bearing and realize the state monitoring of the bearing.
digital twinrolling bearingcondition monitoringModelica
NETL
NSTL
万方数据
维普
