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| Data-driven vibration monitoring for predictive maintenance of polymeric components using machine learning R. M Silva et al. | 2026 | 0 citations |
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| Advancing healthcare equipment reliability: the role of CMMS and RBEM methodologies in medical equipment maintenance Hesham Ahmad Al-Momani et al. | 2026 | 0 citations |
| From predictive maintenance 4.0 to 5.0: bringing humans back into the loop with a self-learning platform and implementation roadmap on automated production lines Laura Lucantoni et al. | 2026 | 0 citations |
| Game-changing the way to teach professional maintenance in company-specific production systems Sara Noelia Giron Pérez et al. | 2026 | 0 citations |
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| Multi-component prognostics and maintenance optimization in wind farms using federated learning and hybrid degradation models Khamiss Cheikh et al. | 2026 | 0 citations |
| An exploration of factors influencing the adoption of Digital Twin technology in predictive maintenance Seema Nagrani & Vaibhav S. Narwane | 2026 | 0 citations |
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| Synthetic maintenance data generation for industrial assets based on historic statistical distribution using pseudo-random algorithm Sebastian Diaz Vivas et al. | 2026 | 0 citations |
| Fuzzy inference systems for probabilistic failure assessment in asset-centric environments Hasan Moradizadeh et al. | 2026 | 0 citations |
| Maintenance strategies for wind turbines: from reliability modelling to economic evaluation of preventive maintenance optimization and the transition to predictive maintenance Youssef Sadraoui et al. | 2026 | 0 citations |
| Editorial: Digital twins: from predictive to prescriptive an editorial on closing the decision gap in maintenance Mohamed Ben-Daya | 2026 | 0 citations |
| Prescriptive maintenance: a comprehensive review of current research and future directions Alessandro Giacotto et al. | 2025 | 8 citations |