State Perception and Prediction of Digital Twin Based on Proxy Model
The maintenance of critical components plays a crucial role in ensuring the overall stable operation of equipment and minimizing damages caused by functional errors. However, Traditional operation and maintenance (O&M) modes suffer from problems such as reliance on empirical judgment, lac...
| Published in: | IEEE Access |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10092872/ |
| _version_ | 1850143229226254336 |
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| author | Lijun Wang Chengguang Wang Xiangyang Li Xiaona Song Donglai Xu |
| author_facet | Lijun Wang Chengguang Wang Xiangyang Li Xiaona Song Donglai Xu |
| author_sort | Lijun Wang |
| collection | DOAJ |
| container_title | IEEE Access |
| description | The maintenance of critical components plays a crucial role in ensuring the overall stable operation of equipment and minimizing damages caused by functional errors. However, Traditional operation and maintenance (O&M) modes suffer from problems such as reliance on empirical judgment, lack of data support, insufficient preventive maintenance, and inadequate collaborative management. To address these issues, a viable approach is to adopt more intelligent O&M modes. Based on the characteristics of digital twin technology, such as virtual interaction and real-time feedback, a digital twin framework for critical component maintenance of equipment is proposed, providing a new approach for the practical application of digital twin in intelligent maintenance processes. This framework consists of two key components: the digital twin maintenance model and the proxy model. The process of establishing the digital twin model is elaborated in detail, and a mechanism that integrates digital twin technology and the proxy model is proposed, along with a prediction process based on the fusion of simulation and monitoring data. Finally, based on the summary of the modeling process and the proxy model, a visualization interface for intelligent maintenance of components is built using relevant engineering software. |
| format | Article |
| id | doaj-art-fb1f1eb22b1e4e0698b913bc06d1ffdc |
| institution | Directory of Open Access Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| spelling | doaj-art-fb1f1eb22b1e4e0698b913bc06d1ffdc2025-08-19T23:48:25ZengIEEEIEEE Access2169-35362023-01-0111360643607210.1109/ACCESS.2023.326454310092872State Perception and Prediction of Digital Twin Based on Proxy ModelLijun Wang0Chengguang Wang1Xiangyang Li2https://orcid.org/0000-0002-4441-8615Xiaona Song3Donglai Xu4https://orcid.org/0000-0001-9455-1118School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou, ChinaSchool of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, U.KThe maintenance of critical components plays a crucial role in ensuring the overall stable operation of equipment and minimizing damages caused by functional errors. However, Traditional operation and maintenance (O&M) modes suffer from problems such as reliance on empirical judgment, lack of data support, insufficient preventive maintenance, and inadequate collaborative management. To address these issues, a viable approach is to adopt more intelligent O&M modes. Based on the characteristics of digital twin technology, such as virtual interaction and real-time feedback, a digital twin framework for critical component maintenance of equipment is proposed, providing a new approach for the practical application of digital twin in intelligent maintenance processes. This framework consists of two key components: the digital twin maintenance model and the proxy model. The process of establishing the digital twin model is elaborated in detail, and a mechanism that integrates digital twin technology and the proxy model is proposed, along with a prediction process based on the fusion of simulation and monitoring data. Finally, based on the summary of the modeling process and the proxy model, a visualization interface for intelligent maintenance of components is built using relevant engineering software.https://ieeexplore.ieee.org/document/10092872/Digital twinoperation and maintenanceproxy model |
| spellingShingle | Lijun Wang Chengguang Wang Xiangyang Li Xiaona Song Donglai Xu State Perception and Prediction of Digital Twin Based on Proxy Model Digital twin operation and maintenance proxy model |
| title | State Perception and Prediction of Digital Twin Based on Proxy Model |
| title_full | State Perception and Prediction of Digital Twin Based on Proxy Model |
| title_fullStr | State Perception and Prediction of Digital Twin Based on Proxy Model |
| title_full_unstemmed | State Perception and Prediction of Digital Twin Based on Proxy Model |
| title_short | State Perception and Prediction of Digital Twin Based on Proxy Model |
| title_sort | state perception and prediction of digital twin based on proxy model |
| topic | Digital twin operation and maintenance proxy model |
| url | https://ieeexplore.ieee.org/document/10092872/ |
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