[HTML][HTML] The advance of digital twin for predictive maintenance: The role and function of machine learning

C Chen, H Fu, Y Zheng, F Tao, Y Liu - Journal of Manufacturing Systems, 2023 - Elsevier
The recent advance of digital twin (DT) has greatly facilitated the development of predictive
maintenance (PdM). DT for PdM enables accurate equipment status recognition and …

Intelligent computational methods for damage detection of laminated composite structures for mobility applications: a comprehensive review

MM Azad, Y Cheon, I Raouf, S Khalid… - Archives of Computational …, 2024 - Springer
The mobility applications of laminated composites are constantly expanding due to their
improved mechanical properties and superior strength-to-weight ratio. Such advancements …

Prognostics and health management for predictive maintenance: A review

C Huang, S Bu, HH Lee, CH Chan, SW Kong… - Journal of Manufacturing …, 2024 - Elsevier
In the pursuit of smart manufacturing, predictive maintenance (PdM) holds significant
importance as it allows manufacturing firms to effectively mitigate avoidable downtime and …

[HTML][HTML] Digital twins for aircraft maintenance and operation: A systematic literature review and an IoT-enabled modular architecture

GM Bisanti, L Mainetti, T Montanaro, L Patrono, I Sergi - Internet of Things, 2023 - Elsevier
Thanks to the rapid growth of the Industry 4.0 domain and the innovations brought by the
Internet of Things paradigm, Digital Twins (DT) are increasingly gaining momentum in our …

Pipeline condition monitoring towards digital twin system: A case study

T Wang, K Feng, J Ling, M Liao, C Yang… - Journal of Manufacturing …, 2024 - Elsevier
Condition monitoring is essential for the industrial pipelines in manufacturing to ensure the
consistent delivery of high quality products with efficient cost. Traditional pipeline conditional …

[HTML][HTML] Influence of smart sensors on structural health monitoring systems and future asset management practices

DMG Preethichandra, TG Suntharavadivel, P Kalutara… - Sensors, 2023 - mdpi.com
Recent developments in networked and smart sensors have significantly changed the way
Structural Health Monitoring (SHM) and asset management are being carried out. Since the …

Digital-Twin virtual model real-time construction via spatio-temporal cascade reconstruction for full-field plastic deformation monitoring in metal tube bending …

J Li, Z Wang, S Zhang, J Ji, Y **ang, D Wang… - Robotics and Computer …, 2025 - Elsevier
Digital Twin (DT) technology, which integrates multi-source information, is extensively
applied for comprehensive monitoring, predicting, and optimizing manufacturing processes …

Digital twins for condition and fleet monitoring of aircraft: towards more-intelligent electrified aviation systems

A Sadeghi, P Bellavista, W Song… - IEEE Access, 2024 - ieeexplore.ieee.org
The convergence of Information Technology (IT), Operational Technology (OT), and
Educational Technology (ET) has led to the emergence of the fourth industrial revolution. As …

Structural health monitoring in aviation: a comprehensive review and future directions for machine learning

F Kosova, Ö Altay, HÖ Ünver - Nondestructive testing and …, 2025 - Taylor & Francis
Aircraft structures are exposed to a variety of operational and environmental loads that can
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …

[HTML][HTML] A Comprehensive review of emerging trends in aircraft structural prognostics and health management

S Khalid, J Song, MM Azad, MU Elahi, J Lee, SH Jo… - Mathematics, 2023 - mdpi.com
This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …