[HTML][HTML] Wind turbine drivetrains: state-of-the-art technologies and future development trends

AR Nejad, J Keller, Y Guo, S Sheng… - Wind Energy …, 2022 - wes.copernicus.org
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 …

Using SCADA data for wind turbine condition monitoring–a review

J Tautz‐Weinert, SJ Watson - IET Renewable Power …, 2017 - Wiley Online Library
The ever increasing size of wind turbines and the move to build them offshore have
accelerated the need for optimised maintenance strategies in order to reduce operating …

Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review

H Habibi, I Howard, S Simani - Renewable energy, 2019 - Elsevier
Reliability improvement of wind turbine power generation is the key issue that can turn the
wind power into one of the main power sources to respond to the world power demands …

Bayesian network modelling for the wind energy industry: An overview

T Adedipe, M Shafiee, E Zio - Reliability Engineering & System Safety, 2020 - Elsevier
Wind energy farms are moving into deeper and more remote waters to benefit from
availability of more space for the installation of wind turbines as well as higher wind speed …

Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS

B Chen, PC Matthews, PJ Tavner - Expert Systems with Applications, 2013 - Elsevier
The fast growing wind industry has shown a need for more sophisticated fault prognosis
analysis in the critical and high value components of a wind turbine (WT). Current WT …

Automated on‐line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition

B Chen, PC Matthews, PJ Tavner - IET Renewable Power …, 2015 - Wiley Online Library
Current wind turbine (WT) studies focus on improving their reliability and reducing the cost of
energy, particularly when WTs are operated offshore. A supervisory control and data …

Attention Mechanism‐Based CNN‐LSTM Model for Wind Turbine Fault Prediction Using SSN Ontology Annotation

Y Xie, J Zhao, B Qiang, L Mi, C Tang… - … and Mobile Computing, 2021 - Wiley Online Library
The traditional model for wind turbine fault prediction is not sensitive to the time sequence
data and cannot mine the deep connection between the time series data, resulting in poor …

Fault template extraction to assist operators during industrial alarm floods

S Charbonnier, N Bouchair, P Gayet - Engineering Applications of Artificial …, 2016 - Elsevier
In industrial systems, a fault occurring on a process can create an alarm flood, a succession
of alarms raised at a rate per minute so high it overwhelms the process operator in charge of …

A review of fault diagnosis and prediction methods for wind turbine pitch systems

J Lan, N Chen, H Li, X Wang - International Journal of Green …, 2024 - Taylor & Francis
Pitch system is an essential subsystem of a wind turbine, which is to efficiently capture and
maximize the utilization of wind energy by controlling the rotation of the blades. Its safety and …

Fault diagnosis system of bridge crane equipment based on fault tree and Bayesian network

Y Zheng, F Zhao, Z Wang - The International Journal of Advanced …, 2019 - Springer
A spreader is an important part of a crane used on wharfs for loading and unloading
operations. Because of the spreader's complex structure, poor operation environment …