Zhao, Lijuan https://orcid.org/0000-0002-8543-2325
Xie, Tong https://orcid.org/0009-0002-4805-0747
Wei, Yuhong https://orcid.org/0009-0001-9739-1858
Liu, Yujia https://orcid.org/0009-0007-4572-9101
Funding for this research was provided by:
National Natural Science Foundation of China (52175075)
Article Title: Overview of digital twin-driven rotating machinery fault diagnosis: status and trends
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2025-01-17
Date Accepted: 2025-04-03
Online publication date: 2025-04-17