A review on fatigue monitoring of structures

N García-Fernández, M Aenlle… - International Journal of …, 2023 - emerald.com
A review on fatigue monitoring of structures | Emerald Insight Books and journals Case studies
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Challenges, opportunities, and a research roadmap for downwind wind turbines

P Bortolotti, H Ivanov, N Johnson, GE Barter… - Wind …, 2022 - Wiley Online Library
This study investigates the challenges and opportunities presented by downwind wind
turbines and offers a roadmap of future research pathways to maximize their potential …

A comprehensive study on Structural Health Monitoring (SHM) of wind turbine blades by instrumenting tower using machine learning methods

M Khazaee, P Derian, A Mouraud - Renewable Energy, 2022 - Elsevier
In this article, a feasibility study has been carried out in order to detect structural faults in the
blade by analyzing the tower vibration. A 5-MW onshore wind turbine was modeled using …

[HTML][HTML] Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks

F de N Santos, P D'Antuono, K Robbelein, N Noppe… - Renewable Energy, 2023 - Elsevier
Offshore wind turbines are exposed during their serviceable lifetime to a wide range of loads
from aero-, hydro-and structural dynamics. This complex loading scenario will have an …

Vibration‐based monitoring of a small‐scale wind turbine blade under varying climate conditions. Part I: An experimental benchmark

Y Ou, KE Tatsis, VK Dertimanis… - … Control and Health …, 2021 - Wiley Online Library
Structural health monitoring (SHM) has been increasingly exploited in recent years as a
valuable tool for assessing performance throughout the life cycle of structural systems, as …

Optimal sensor placement for parameter estimation and virtual sensing of strains on an offshore wind turbine considering sensor installation cost

A Mehrjoo, M Song, B Moaveni, C Papadimitriou… - … Systems and Signal …, 2022 - Elsevier
This paper proposes an optimal sensor placement (OSP) framework for parameter
estimation, virtual sensing, and condition monitoring using information theory. The …

Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment

NS Gulgec, M Takáč, SN Pakzad - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Many of the civil structures experience significant vibrations and repeated stress cycles
during their life span. These conditions are the bases for fatigue analysis to accurately …

Digital twin based virtual sensor for online fatigue damage monitoring in offshore wind turbine drivetrains

FC Mehlan, AR Nejad, Z Gao - Journal of …, 2022 - asmedigitalcollection.asme.org
In this article a virtual sensor for online load monitoring and subsequent remaining useful life
(RUL) assessment of wind turbine gearbox bearings is presented. Utilizing a Digital Twin …

Expansion of experimental mode shape from operational modal analysis and virtual sensing for fatigue analysis using the modal expansion method

M Tarpø, B Nabuco, C Georgakis, R Brincker - International journal of …, 2020 - Elsevier
Offshore structures are exposed to fatigue damage due to fluctuating environmental and
operational forces. The actual stress history of structures in operation is an important …

Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering

T Ercan, O Sedehi, LS Katafygiotis… - Mechanical Systems and …, 2023 - Elsevier
An optimal sensor placement (OSP) framework for virtual sensing using the augmented
Kalman Filter (AKF) technique is presented based on information and utility theory. The …