Digital twin-driven vibration state monitoring method for gear transmission systems

ObjectiveThe vibration analysis is an effective and widely used technology for monitoring the state of the rotating machinery. To better manage the health condition of various components in gear transmission systems, a vibration state monitoring framework for gear transmission systems based on the d...

Full description

Saved in:
Bibliographic Details
Main Authors: TANG Xianju, HU Zhi’an, SHE Yixi, HAN Bing, SHI Zhenfu
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2025-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails?columnId=80337908&Fpath=home&index=0
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832595470728298496
author TANG Xianju
HU Zhi’an
SHE Yixi
HAN Bing
SHI Zhenfu
author_facet TANG Xianju
HU Zhi’an
SHE Yixi
HAN Bing
SHI Zhenfu
author_sort TANG Xianju
collection DOAJ
description ObjectiveThe vibration analysis is an effective and widely used technology for monitoring the state of the rotating machinery. To better manage the health condition of various components in gear transmission systems, a vibration state monitoring framework for gear transmission systems based on the digital twin technology was proposed.MethodsFirstly, the functionality and logical relation of each module in this technology framework were introduced from the physical layer, the data layer, the model layer, and the application layer, respectively. Secondly, the construction of the performance model and the behavior model for the gear transmission system was detailed. The performance model was used to simulate vibration signals, while the behavior model was utilized for updating the digital twin model. Finally, using a two-stage fixed-axis gear transmission system as an example, its digital twin system was established. Theoretical analysis and verification of various key technologies were conducted.ResultsThe digital twin system achieves online vibration monitoring of the gear transmission system. The simulation response of the digital twin model shows close agreement with the measured vibration data, validating the effectiveness of both the performance and behavior models. This study provides valuable data support for the fatigue life prediction and reliability assessment of key components in the gearbox, contributing to the advancement of digital twin technology in the monitoring of rotating machinery.
format Article
id doaj-art-6529a7b027cb48eba09e1f2312b5a61c
institution Kabale University
issn 1004-2539
language zho
publishDate 2025-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-6529a7b027cb48eba09e1f2312b5a61c2025-01-18T19:00:13ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392025-01-011880337908Digital twin-driven vibration state monitoring method for gear transmission systemsTANG XianjuHU Zhi’anSHE YixiHAN BingSHI ZhenfuObjectiveThe vibration analysis is an effective and widely used technology for monitoring the state of the rotating machinery. To better manage the health condition of various components in gear transmission systems, a vibration state monitoring framework for gear transmission systems based on the digital twin technology was proposed.MethodsFirstly, the functionality and logical relation of each module in this technology framework were introduced from the physical layer, the data layer, the model layer, and the application layer, respectively. Secondly, the construction of the performance model and the behavior model for the gear transmission system was detailed. The performance model was used to simulate vibration signals, while the behavior model was utilized for updating the digital twin model. Finally, using a two-stage fixed-axis gear transmission system as an example, its digital twin system was established. Theoretical analysis and verification of various key technologies were conducted.ResultsThe digital twin system achieves online vibration monitoring of the gear transmission system. The simulation response of the digital twin model shows close agreement with the measured vibration data, validating the effectiveness of both the performance and behavior models. This study provides valuable data support for the fatigue life prediction and reliability assessment of key components in the gearbox, contributing to the advancement of digital twin technology in the monitoring of rotating machinery.http://www.jxcd.net.cn/thesisDetails?columnId=80337908&Fpath=home&index=0Gear transmission systemDigital twinVibration responseCondition monitoring
spellingShingle TANG Xianju
HU Zhi’an
SHE Yixi
HAN Bing
SHI Zhenfu
Digital twin-driven vibration state monitoring method for gear transmission systems
Jixie chuandong
Gear transmission system
Digital twin
Vibration response
Condition monitoring
title Digital twin-driven vibration state monitoring method for gear transmission systems
title_full Digital twin-driven vibration state monitoring method for gear transmission systems
title_fullStr Digital twin-driven vibration state monitoring method for gear transmission systems
title_full_unstemmed Digital twin-driven vibration state monitoring method for gear transmission systems
title_short Digital twin-driven vibration state monitoring method for gear transmission systems
title_sort digital twin driven vibration state monitoring method for gear transmission systems
topic Gear transmission system
Digital twin
Vibration response
Condition monitoring
url http://www.jxcd.net.cn/thesisDetails?columnId=80337908&Fpath=home&index=0
work_keys_str_mv AT tangxianju digitaltwindrivenvibrationstatemonitoringmethodforgeartransmissionsystems
AT huzhian digitaltwindrivenvibrationstatemonitoringmethodforgeartransmissionsystems
AT sheyixi digitaltwindrivenvibrationstatemonitoringmethodforgeartransmissionsystems
AT hanbing digitaltwindrivenvibrationstatemonitoringmethodforgeartransmissionsystems
AT shizhenfu digitaltwindrivenvibrationstatemonitoringmethodforgeartransmissionsystems