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A Digital Twin-Based State Monitoring Method of Gear Test Bench

Authors :
Jubo Li
Songlin Wang
Jianjun Yang
Huijie Zhang
Hengbo Zhao
Source :
Applied Sciences, Vol 13, Iss 5, p 3291 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The gear test bench is important equipment for analyzing gear performance, detecting gear quality, and providing basic data for gear design and machining. In order to monitor the running state of the gear test bench, predict its running performance both timely and effectively, and guarantee its stable operation, a digital twin-based state monitoring method of the gear test bench is proposed in this paper. The state monitoring system of the gear test bench based on the digital twin model is constructed to simulate its normal running state in real time. On this basis, through the acquisition of physical information of the gear test bench, the developing of the state monitoring system, and the simulation of the digital twin model, the real-time state monitoring of the normal operation gear test bench is realized. The test results of the closed power flow gear test bench show that the digital twin simulation results of the gear test bench are basically consistent with it. The proposed state monitoring system can map the normal running state of the gear test bench, so as to realize the running state monitoring of the gear test bench.

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.97aec41e67104d338ff36bc8fbf81b7f
Document Type :
article
Full Text :
https://doi.org/10.3390/app13053291