Deep reinforcement learning for cost-optimal condition-based maintenance policy of offshore wind turbine components

J Cheng, Y Liu, W Li, T Li - Ocean Engineering, 2023 - Elsevier
The high cost of operation and maintenance can impede the development of offshore wind
turbines (OWTs). With advancements in detection technology, condition-based maintenance …

Condition based maintenance optimization for offshore wind turbine considering opportunities based on neural network approach

Y Lu, L Sun, X Zhang, F Feng, J Kang, G Fu - Applied Ocean Research, 2018 - Elsevier
A well-established condition-based maintenance (CBM) method based on condition
monitoring information can be used to reduce maintenance costs by decimating …

Deep reinforcement learning based preventive maintenance for wind turbines

W Dong, T Zhao, Y Wu - 2021 IEEE 5th conference on energy …, 2021 - ieeexplore.ieee.org
Wind turbines have been the core devices in the low carbon society, where the maintenance
cost occupies the critical part of the life cycle cost. A preventive maintenance (PM) problem …

A deep reinforcement learning approach for maintenance planning of multi-component systems with complex structure

J Chen, Y Wang - Neural Computing and Applications, 2023 - Springer
In recent years, the trend toward greater integration and complexity of mechanical systems
has brought challenges to the formulation of preventive maintenance plans. It is very difficult …

Optimum condition-based maintenance policy with dynamic inspections based on reinforcement learning

J Cheng, Y Liu, M Cheng, W Li, T Li - Ocean Engineering, 2022 - Elsevier
During the service life, inspections and repairs should be applied timely to maintain the
reliability level of deteriorating structures. Condition-based maintenance (CBM) is an …

Deep reinforcement learning for maintenance planning of offshore vessel transfer

J Chatterjee, N Dethlefs - Developments in renewable energies …, 2020 - taylorfrancis.com
Offshore wind farm operators need to make short-term decisions on planning vessel
transfers to turbines for preventive or corrective maintenance. These decisions can play a …

Dynamic predictive maintenance scheduling using deep learning ensemble for system health prognostics

C Chen, ZH Zhu, J Shi, N Lu, B Jiang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Modern engineering systems are usually equipped with a variety of sensors to measure real-
time operating conditions. Based on the condition monitoring data from multiple sensor …

A deep learning predictive model for selective maintenance optimization

H Hesabi, M Nourelfath, A Hajji - Reliability Engineering & System Safety, 2022 - Elsevier
This paper develops a predictive selective maintenance framework using deep learning and
mathematical programming. We consider a multi-component system executing consecutive …

Condition based maintenance optimization for wind power generation systems under continuous monitoring

Z Tian, T Jin, B Wu, F Ding - Renewable Energy, 2011 - Elsevier
By utilizing condition monitoring information collected from wind turbine components,
condition based maintenance (CBM) strategy can be used to reduce the operation and …

Deep auto-encoder and deep forest-assisted failure prognosis for dynamic predictive maintenance scheduling

H Yu, C Chen, N Lu, C Wang - Sensors, 2021 - mdpi.com
Prognostics and health management (PHM) with failure prognosis and maintenance
decision-making as the core is an advanced technology to improve the safety, reliability, and …