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 …

Materials for wind turbine blades: An overview

L Mishnaevsky Jr, K Branner, HN Petersen, J Beauson… - Materials, 2017 - mdpi.com
A short overview of composite materials for wind turbine applications is presented here.
Requirements toward the wind turbine materials, loads, as well as available materials are …

Recent advances in damage detection of wind turbine blades: A state-of-the-art review

P Kaewniam, M Cao, NF Alkayem, D Li… - … and Sustainable Energy …, 2022 - Elsevier
Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …

Structural Health Monitoring using deep learning with optimal finite element model generated data

P Seventekidis, D Giagopoulos, A Arailopoulos… - … Systems and Signal …, 2020 - Elsevier
Abstract Identifying damage through Structural Health Monitoring (SHM) methods is
increasingly attracting attention due to multiple maintenance and failure prevention …

Review of the typical damage and damage-detection methods of large wind turbine blades

W Wang, Y Xue, C He, Y Zhao - Energies, 2022 - mdpi.com
With global warming and the depletion of fossil energy sources, renewable energy is
gradually replacing non-renewable energy as the main energy in the future. As one of the …

Condition monitoring of wind turbine blades based on self-supervised health representation learning: A conducive technique to effective and reliable utilization of wind …

S Sun, T Wang, H Yang, F Chu - Applied Energy, 2022 - Elsevier
To improve the efficiency and reliability of wind power generation, condition monitoring of
wind turbines has drawn extensive attention worldwide. However, blade health monitoring is …

In-situ condition monitoring of wind turbine blades: A critical and systematic review of techniques, challenges, and futures

S Sun, T Wang, F Chu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Blades are critical components in wind turbines (WTs) for power generation, and condition
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …

An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade

A Movsessian, DG Cava, D Tcherniak - Mechanical Systems and Signal …, 2021 - Elsevier
This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …

A combined finite element and hierarchical Deep learning approach for structural health monitoring: Test on a pin-joint composite truss structure

P Seventekidis, D Giagopoulos - Mechanical Systems and Signal …, 2021 - Elsevier
Abstract Structural Health Monitoring (SHM) is an emerging field of engineering with a wide
range of applications. The most common SHM strategies operate on structural responses …

Gaussian process models for mitigation of operational variability in the structural health monitoring of wind turbines

LD Avendano-Valencia, EN Chatzi… - Mechanical Systems and …, 2020 - Elsevier
The analysis presented in this work relates to the quantification of the effect of a selected set
of measured Environmental and Operational Parameters (EOPs) on the dynamic properties …