Research of Data-model Integrated Digital Twin-based Health Intelligent Monitoring for Multi-stage Centrifugal Compressors

Authors

• Xiaomo Jiang, School of Energy and Power, Dalian University of Technology, Dalian 116024, China
• Jigang Meng, School of Energy and Power, Dalian University of Technology, Dalian 116024, China
• Huaiyu Hui, School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
• Wenqing Meng, School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
• Haibin Yang, School of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China
• Huize Chen, School of Energy and Power, Dalian University of Technology, Dalian 116024, China

Abstract

Abstract: To address the challenges of insufficient real-time monitoring capability and weak coupling between physical entities and virtual models in the long-term safe and reliable operation of multi-stage centrifugal compressors under complex operating conditions, this paper proposes a digital twin construction method based on data-model fusion for intelligent health monitoring. A unit-system-component hierarchical virtual twin model is established to achieve the coordinated mapping of geometric structure, operational behavior, and monitoring data of the compressor. By integrating a terminal-edge-cloud collaborative architecture, data-driven models are dynamically coupled with the virtual twin to construct a digital twin-based health monitoring platform, enabling operating state visualization, fault early warning, and remaining useful life prediction. A demonstration and validation are conducted on a centrifugal compressor test rig. The results show that the proposed method can achieve reliable monitoring performance while ensuring real-time responsiveness, demonstrating good engineering applicability and providing technical support for intelligent operation and maintenance of multi-stage centrifugal compressors.

Recommended Citation

Jiang, Xiaomo; Meng, Jigang; Hui, Huaiyu; Meng, Wenqing; Yang, Haibin; and Chen, Huize (2026) "Research of Data-model Integrated Digital Twin-based Health Intelligent Monitoring for Multi-stage Centrifugal Compressors," Journal of System Simulation: Vol. 38: Iss. 9, Article 18.
DOI: 10.16182/j.issn1004731x.joss.25-1072
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss9/18

First Page

2696

Last Page

2710

CLC

TP45; TP391

Recommended Citation

Jiang Xiaomo, Meng Jigang, Hui Huaiyu, et al. Research of Data-model Integrated Digital Twin-based Health Intelligent Monitoring for Multi-stage Centrifugal Compressors[J]. Journal of System Simulation, 2026, 38(9): 2696-2710.

DOI

10.16182/j.issn1004731x.joss.25-1072