Digital twin based bearing fault simulation modeling strategy and display dynamics

Chunxu Zhao, Quanling Zhang, Cunsong Wang, Hao Peng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2023 6th International Symposium on Autonomous Systems, ISAS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350316155
DOIs
StatePublished - 2023
Event6th International Symposium on Autonomous Systems, ISAS 2023 - Nanjing, China
Duration: 23 Jun 202325 Jun 2023

Publication series

Name2023 6th International Symposium on Autonomous Systems, ISAS 2023

Conference

Conference6th International Symposium on Autonomous Systems, ISAS 2023
Country/TerritoryChina
CityNanjing
Period23/06/2325/06/23

Keywords

  • bearing
  • digital twin
  • dynamic model
  • fault simulation modeling

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