Offshore wind turbine operations and maintenance: A state-of-the-art review

Z Ren, AS Verma, Y Li, JJE Teuwen, Z Jiang - Renewable and Sustainable …, 2021 - Elsevier
Operations and maintenance of offshore wind turbines (OWTs) play an important role in the
development of offshore wind farms. Compared with operations, maintenance is a critical …

Digital twin-based sustainable intelligent manufacturing: a review

B He, KJ Bai - Advances in Manufacturing, 2021 - Springer
As the next-generation manufacturing system, intelligent manufacturing enables better
quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept …

A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis

H Badihi, Y Zhang, B Jiang, P Pillay… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Wind turbines play an increasingly important role in renewable power generation. To ensure
the efficient production and financial viability of wind power, it is crucial to maintain wind …

Blockchain-empowered digital twins collaboration: smart transportation use case

R Sahal, SH Alsamhi, KN Brown, D O'shea… - Machines, 2021 - mdpi.com
Digital twins (DTs) is a promising technology in the revolution of the industry and essential
for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to …

Diagnosis of wind turbine faults with transfer learning algorithms

W Chen, Y Qiu, Y Feng, Y Li, A Kusiak - Renewable Energy, 2021 - Elsevier
A framework of using transfer learning algorithms, Inception V3 and TrAdaBoost, for fault
diagnosis of two wind turbine faults is presented and verified. Two failure modes, blade icing …

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

M Shafiee, JD Sørensen - Reliability Engineering & System Safety, 2019 - Elsevier
Designing cost-effective inspection and maintenance programmes for wind energy farms is
a complex task involving a high degree of uncertainty due to diversity of assets and their …

Recent trends and challenges in predictive maintenance of aircraft's engine and hydraulic system

K Khan, M Sohaib, A Rashid, S Ali, H Akbar… - Journal of the Brazilian …, 2021 - Springer
Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …

Damage detection in operational wind turbine blades using a new approach based on machine learning

K Chandrasekhar, N Stevanovic, EJ Cross, N Dervilis… - Renewable Energy, 2021 - Elsevier
The application of reliable structural health monitoring (SHM) technologies to operational
wind turbine blades is a challenging task, due to the uncertain nature of the environments …

Application of sensor data based predictive maintenance and artificial neural networks to enable Industry 4.0

JM Fordal, P Schjølberg, H Helgetun… - Advances in …, 2023 - Springer
Possessing an efficient production line relies heavily on the availability of the production
equipment. Thus, to ensure that the required function for critical equipment is in compliance …

Effective artificial neural network-based wind power generation and load demand forecasting for optimum energy management

J Jamii, M Mansouri, M Trabelsi, MF Mimouni… - Frontiers in Energy …, 2022 - frontiersin.org
The variability of power production from renewable energy sources (RESs) presents serious
challenges in energy management (EM) and power system stability. Power forecasting plays …