[HTML][HTML] Machine learning methods for wind turbine condition monitoring: A review
This paper reviews the recent literature on machine learning (ML) models that have been
used for condition monitoring in wind turbines (eg blade fault detection or generator …
used for condition monitoring in wind turbines (eg blade fault detection or generator …
Micromixers—a review
This review reports the progress on the recent development of micromixers. The review first
presents the different micromixer types and designs. Micromixers in this review are …
presents the different micromixer types and designs. Micromixers in this review are …
Fault diagnosis of wind turbine based on Long Short-term memory networks
Time-series data is widely adopted in condition monitoring and fault diagnosis of wind
turbines as well as other energy systems, where long-term dependency is essential to form …
turbines as well as other energy systems, where long-term dependency is essential to form …
A comprehensive review on signal-based and model-based condition monitoring of wind turbines: Fault diagnosis and lifetime prognosis
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 …
the efficient production and financial viability of wind power, it is crucial to maintain wind …
Machine learning-based digital twin for predictive modeling in wind turbines
Wind turbines are one of the primary sources of renewable energy, which leads to a
sustainable and efficient energy solution. It does not release any carbon emissions to pollute …
sustainable and efficient energy solution. It does not release any carbon emissions to pollute …
[HTML][HTML] Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK
A significant number of wind turbines will reach the end of their planned service life in the
near future. A decision on lifetime extension is complex and experiences to date are limited …
near future. A decision on lifetime extension is complex and experiences to date are limited …
[HTML][HTML] Wind turbine drivetrains: state-of-the-art technologies and future development trends
This paper presents the state-of-the-art technologies and development trends of wind
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …
Critical wind turbine components prognostics: A comprehensive review
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …
Deep Learning for fault detection in wind turbines
G Helbing, M Ritter - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Condition monitoring in wind turbines aims at detecting incipient faults at an early stage to
improve maintenance. Artificial neural networks are a tool from machine learning that is …
improve maintenance. Artificial neural networks are a tool from machine learning that is …
Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units
Z Kong, B Tang, L Deng, W Liu, Y Han - Renewable Energy, 2020 - Elsevier
Aimed at identifying the health state of wind turbines accurately by comprehensively using
the change information in spatial and temporal scale of the supervisory control and data …
the change information in spatial and temporal scale of the supervisory control and data …