[HTML][HTML] Health management review for fuel cells: Focus on action phase

J Zuo, NY Steiner, Z Li, D Hissel - Renewable and Sustainable Energy …, 2024 - Elsevier
Proton exchange membrane fuel cells offer a sustainable solution to electrical power
generation and combined power and heat applications, even if they still encounter durability …

Deep reinforcement learning for intelligent risk optimization of buildings under hazard

GA Anwar, X Zhang - Reliability Engineering & System Safety, 2024 - Elsevier
Risk management often involves retrofit optimization to enhance the performance of
buildings against extreme events but may result in huge upfront mitigation costs. Existing …

Knowledge transfer for adaptive maintenance policy optimization in engineering fleets based on meta-reinforcement learning

J Cheng, M Cheng, Y Liu, J Wu, W Li… - Reliability Engineering & …, 2024 - Elsevier
Maintenance policy optimization is crucial for ensuring the efficient functioning of structures
and systems and mitigating the risk of deterioration. Reinforcement learning methods …

Joint multi-objective optimization method for emergency maintenance and condition-based maintenance: Subsea control system as a case study

Y Zhang, B Cai, Y Zhao, C Gao, Y Liu, L Gao… - Reliability Engineering & …, 2024 - Elsevier
In practical engineering, the engineering system is normally affected by random shocks to
different degrees in addition to normal degradation. Random shocks cause dramatic …

A Comprehensive Review of Machine Learning Techniques for Condition-Based Maintenance

T Ward, K Jenab, J Ortega-Moody… - International Journal of …, 2024 - papers.phmsociety.org
While most industrial maintenance strategies are centered on optimizing machine runtime
and cost reduction, the condition-based maintenance (CBM) strategy distinguishes itself …

Implementación del plan de mantenimiento predictivo insourcing para optimizar los costos de mantenimiento en una compañía, Bayóvar 2023

J Quispe Arias - 2023 - repositorio.ucv.edu.pe
El propósito principal del presente trabajo es determinar la hipótesis afirmativa, que la
implementación del plan de mantenimiento predictivo insourcing optimiza los costos de …