Review of robot-based damage assessment for offshore wind turbines
Y Liu, M Hajj, Y Bao - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Offshore wind turbines are subjected to highly-varying dynamic loadings and accelerated
material degradation, resulting in the need for structural health monitoring, which increases …
material degradation, resulting in the need for structural health monitoring, which increases …
A review of research on wind turbine bearings' failure analysis and fault diagnosis
H Peng, H Zhang, Y Fan, L Shangguan, Y Yang - Lubricants, 2022 - mdpi.com
Bearings are crucial components that decide whether or not a wind turbine can work
smoothly and that have a significant impact on the transmission efficiency and stability of the …
smoothly and that have a significant impact on the transmission efficiency and stability of the …
Research on crack detection method of wind turbine blade based on a deep learning method
Z Xiaoxun, H Xinyu, G Xiaoxia, Y Xing, X Zixu, W Yu… - Applied Energy, 2022 - Elsevier
For the propose of improving the economic benefits of wind turbine utilization, an image
recognition model based on deep learning called 'Multivariate Information You Only Look …
recognition model based on deep learning called 'Multivariate Information You Only Look …
Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study
A critical problem encountered in structural health monitoring of civil engineering structures,
and other structures such as mechanical or aircraft structures, is how to convincingly analyze …
and other structures such as mechanical or aircraft structures, is how to convincingly analyze …
Multi-scale wind turbine bearings supervision techniques using industrial SCADA and vibration data
Featured Application Periodic supervision of wind turbine bearings in the industry practice.
Abstract Timely damage diagnosis of wind turbine rolling elements is a keystone for …
Abstract Timely damage diagnosis of wind turbine rolling elements is a keystone for …
Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling
Automatic crack identification for pipeline analysis utilizes three-dimensional (3D) image
technology to improve the accuracy and reliability of crack identification. A new technique …
technology to improve the accuracy and reliability of crack identification. A new technique …
Structural assessment under uncertain parameters via the interval optimization method using the slime mold algorithm
Damage detection of civil and mechanical structures based on measured modal parameters
using model updating schemes has received increasing attention in recent years. In this …
using model updating schemes has received increasing attention in recent years. In this …
Visible particle series search algorithm and its application in structural damage identification
Identifying structural damage is an essential task for ensuring the safety and functionality of
civil, mechanical, and aerospace structures. In this study, the structural damage identification …
civil, mechanical, and aerospace structures. In this study, the structural damage identification …
Design, modeling and control of a hybrid grid-connected photovoltaic-wind system for the region of Adrar, Algeria
The use of fossil energy for electricity production is an evident source of pollution, global
warming and climate change. Consequently, researchers have been working to shift toward …
warming and climate change. Consequently, researchers have been working to shift toward …
A deep learning-based approach for the identification of a multi-parameter BWBN model
Z Li, M Noori, C Wan, B Yu, B Wang, WA Altabey - Applied Sciences, 2022 - mdpi.com
A restoring-force model is a versatile mathematical model that can describe the relationship
between the restoring force and the deformation obtained from a large number of …
between the restoring force and the deformation obtained from a large number of …