Results 81 to 90 of about 14,226 (228)
Jixie chuandong, 2014 In order to monitor the wear condition of wind turbine gearbox and reduce the costs of maintenance,a technique of the wear condition assessment based on the on- line oil abrasion monitoring is proposed.
史训兵, 熊志刚, 李杨宗
doaj
LLMs in Wind Turbine Gearbox Failure Prediction
EnergiesPredictive maintenance strategies in wind turbine operations have risen in popularity with the growth of renewable electricity demand. The capacity of the strategy to predict system health, especially for the wind turbine gearboxes, is critical in reducing wind turbine operation and maintenance cost.
Yoke Wang Tan, James Carroll
openaire +1 more source
Integration of end-of-life options as a design criterion in methods and tools for ecodesign [PDF]
, 2014 Ecodesigning a product consists (amongst other things) in assessing what its environmental impacts will be throughout its life (that is to say from its design phase to its end of life), in order to limit them.
LE DIAGON, Yoann +3 more
core +3 more sources
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.This study presents an automated approach for wind turbine fault diagnosis by integrating deep learning with an optimized gradient boosting model to address imbalanced SCADA data. Using t‐SNE representations and deep features from a physics‐informed CNN, the method enhances fault classification, while AEPSO optimizes a CatBoost classifier.
Chun‐Yao Lee +2 more
wiley +1 more source
Wind Turbine Model and Observer in Takagi-Sugeno Model Structure
, 2014 Based on a reduced-order, dynamic nonlinear wind turbine model in Takagi-Sugeno (TS) model structure, a TS state observer is designed as a disturbance observer to estimate the unknown effective wind speed. The TS observer model is an exact representation
Georg, Sören +2 more
core +1 more source
Interpretable Multi‐Turbine Output Prediction of Offshore Wind Farms Based on FAGTTN Model
IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.This paper proposes a power prediction model feature attention graph convolutional neural network with temporal transformers (FAGTTN) for offshore wind farms based on the feature attention module, adaptive graph convolutional neural network (AGCN) and temporal transformers.
Xiangjing Su +5 more
wiley +1 more source
Jixie chuandong, 2008 With technical maturity and cost decreases of wind power,the installation capacity of wind power increase in high speed in recent years. The development status and trends of world wind power industry are summarized.
张立勇, 王长路, 刘法根
doaj
Fault Diagnosis of Wind Turbine Gearbox Under Nonstationary Condition based on Order Analysis
Jixie chuandong, 2020 Gearbox is the key transmission part of wind turbine. It bears complex non-stationary load for a long time，and is prone to crack，teeth broken，wear and other gear faults，resulting in safety accidents and economic losses.
Dengli Zhao +5 more
doaj
Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data [PDF]
, 2016 Cost-effective wind turbine diagnosis using SCADA data is a promising technology for future intelligent wind farm operation and management. This paper presents a thermophysics based method for wind turbine drivetrain fault diagnosis.
Feng, Yanhui +4 more
core +1 more source
Diagnostics and prognostics utilising dynamic Bayesian networks applied to a wind turbine gearbox [PDF]
, 2012 The UK has the largest installed capacity of offshore wind and this is set to increase significantly in future years. The difficulty in conducting maintenance offshore leads to increased operation and maintenance costs compared to onshore but with better
Kenyon, Andrew +4 more
core