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 …

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 …

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 …

Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study

A Silik, M Noori, WA Altabey, J Dang… - Structural Health …, 2022 - journals.sagepub.com
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 …

Multi-scale wind turbine bearings supervision techniques using industrial SCADA and vibration data

F Natili, AP Daga, F Castellani, L Garibaldi - Applied Sciences, 2021 - mdpi.com
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 …

Deep learning-based crack identification for steel pipelines by extracting features from 3d shadow modeling

WA Altabey, M Noori, T Wang, R Ghiasi, SC Kuok… - Applied Sciences, 2021 - mdpi.com
Automatic crack identification for pipeline analysis utilizes three-dimensional (3D) image
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

R Ghiasi, M Noori, SC Kuok, A Silik, T Wang, F Pozo… - Applied Sciences, 2022 - mdpi.com
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 …

Visible particle series search algorithm and its application in structural damage identification

P Mohebian, SBB Aval, M Noori, N Lu, WA Altabey - Sensors, 2022 - mdpi.com
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 …

Design, modeling and control of a hybrid grid-connected photovoltaic-wind system for the region of Adrar, Algeria

Y Kebbati, L Baghli - International Journal of Environmental Science and …, 2023 - Springer
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 …

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 …