TY - GEN
T1 - Digital twin based bearing fault simulation modeling strategy and display dynamics
AU - Zhao, Chunxu
AU - Zhang, Quanling
AU - Wang, Cunsong
AU - Peng, Hao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Rolling bearings are applied in most machinery, and their health status has an impact on the accuracy, stability, and reliability of mechanical equipment. The existing fault diagnosis methods are carried out damage experiments on physical equipment. However, the data acquisition is insufficient, the cost is high. A basic framework of bearing fault simulation modeling strategy is proposed. First, a three-dimensional mode is established according to the geometric size of the physical entity. Then, a virtual simulation model of equipment is constructed using the finite element analysis method. Finally, a virtual fault is injected into the virtual simulation model to generate fault characteristics through model simulation. In the case study, the generation method of bearing fault feature is established. The results show that the model is reliable in generating bearing fault characteristics.
AB - Rolling bearings are applied in most machinery, and their health status has an impact on the accuracy, stability, and reliability of mechanical equipment. The existing fault diagnosis methods are carried out damage experiments on physical equipment. However, the data acquisition is insufficient, the cost is high. A basic framework of bearing fault simulation modeling strategy is proposed. First, a three-dimensional mode is established according to the geometric size of the physical entity. Then, a virtual simulation model of equipment is constructed using the finite element analysis method. Finally, a virtual fault is injected into the virtual simulation model to generate fault characteristics through model simulation. In the case study, the generation method of bearing fault feature is established. The results show that the model is reliable in generating bearing fault characteristics.
KW - bearing
KW - digital twin
KW - dynamic model
KW - fault simulation modeling
UR - http://www.scopus.com/inward/record.url?scp=85165134669&partnerID=8YFLogxK
U2 - 10.1109/ISAS59543.2023.10164348
DO - 10.1109/ISAS59543.2023.10164348
M3 - 会议稿件
AN - SCOPUS:85165134669
T3 - 2023 6th International Symposium on Autonomous Systems, ISAS 2023
BT - 2023 6th International Symposium on Autonomous Systems, ISAS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Symposium on Autonomous Systems, ISAS 2023
Y2 - 23 June 2023 through 25 June 2023
ER -