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Volume 26
Issue 12
10.3390/s26123885
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

PHM Services Based on Cyber–Physical Machine Tool System

by
Chuting Wang
1,2,
Ruijuan Xue
1,
Xuesong Mei
2 and
Zuguang Huang
1,3,*
1
General Technology Key Laboratory of High-End CNC Machine Tools, Beijing 100102, China
2
School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 713599, China
3
Frontier Institute of Science and Technology, Xi’an Jiaotong University, Xi’an 713599, China
*
Author to whom correspondence should be addressed.
Sensors 2026, 26(12), 3885; https://doi.org/10.3390/s26123885 (registering DOI)
Submission received: 6 May 2026 / Revised: 11 June 2026 / Accepted: 14 June 2026 / Published: 18 June 2026
(This article belongs to the Special Issue Advances in Sensors for Online Condition Monitoring and Fault Diagnosis: 2nd Edition)
Versions Notes

Abstract

Heterogeneous fault information and a lack of real-time synchronization in CNC machine tools hinder effective Prognostics and Health Management (PHM). This paper designs and implements a digital twin-driven PHM framework for machine tools that integrates a unified machine-tool fault information dictionary and a mechanism-data dual-driven diagnostic model (ResNet-TCN). A cyber–physical platform was developed using OPC UA and RESTful APIs to ensure real-time data synchronization. Experiments on the PHM 2010 dataset demonstrate that the proposed ResNet-TCN model achieves a root mean square error (RMSE) of 5.46 μm for tool wear prediction. Its performance surpasses that of traditional LSTM models, and the proposed framework effectively eliminates information silos, providing a responsive, scalable and accurate PHM solution for smart manufacturing.
Keywords: PHM; CNC machine tool; digital twin PHM; CNC machine tool; digital twin

Share and Cite

MDPI and ACS Style

Wang, C.; Xue, R.; Mei, X.; Huang, Z. PHM Services Based on Cyber–Physical Machine Tool System. Sensors 2026, 26, 3885. https://doi.org/10.3390/s26123885

AMA Style

Wang C, Xue R, Mei X, Huang Z. PHM Services Based on Cyber–Physical Machine Tool System. Sensors. 2026; 26(12):3885. https://doi.org/10.3390/s26123885

Chicago/Turabian Style

Wang, Chuting, Ruijuan Xue, Xuesong Mei, and Zuguang Huang. 2026. "PHM Services Based on Cyber–Physical Machine Tool System" Sensors 26, no. 12: 3885. https://doi.org/10.3390/s26123885

APA Style

Wang, C., Xue, R., Mei, X., & Huang, Z. (2026). PHM Services Based on Cyber–Physical Machine Tool System. Sensors, 26(12), 3885. https://doi.org/10.3390/s26123885

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