Search Results - "Seibi, Abdennour C."
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Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades
Published in Energies (Basel) (01-01-2024)“…This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection through the synergistic use of thermal and RGB imaging, coupled with…”
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Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection
Published in IEEE access (01-01-2024)“…The increasing demand for wind power requires more frequent inspections to identify defects in the Wind Turbine Blades (WTBs). These defects, if not detected,…”
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Optimization of Cement–Rubber Composites for Eco-Sustainable Well Completion: Rheological, Mechanical, Petrophysical, and Creep Properties
Published in Energies (Basel) (01-04-2022)“…To ensure well integrity, wellbore must be strongly cased using durable cement slurries with essential additives during downhole completion. The rubber…”
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Poromechanics of Fractured/Faulted Reservoirs During Fluid Injection Based on Continuum Damage Modeling and Machine Learning
Published in Natural resources research (New York, N.Y.) (01-02-2023)“…The reactivation of faults is governed by the variation of effective stresses in the fault’s plane. These effective stresses are dependent on the total…”
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A frequency-domain approach to improve ANNs generalization quality via proper initialization
Published in Neural networks (01-08-2018)“…The ability to train a network without memorizing the input/output data, thereby allowing a good predictive performance when applied to unseen data, is…”
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Fluid-structure interaction and life prediction of small-scale damaged horizontal axis wind turbine blades
Published in Results in engineering (01-09-2024)“…Throughout their operational lifespan and exposure to various environmental conditions, wind turbines experience diverse loading scenarios that could lead to…”
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Reducing the Relative Error Between the Experimental and Numerical Results of a Pipeline Leak Flowrate Using a Lean Six-Sigma Based Approach
Published in 2020 Intermountain Engineering, Technology and Computing (IETC) (02-10-2020)“…One of the limitations of pipelines performance and structural integrity assessment is the continuous inspection of possible leaks due to corrosion or other…”
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Conference Proceeding -
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Hyperparameter Tuning of Support Vector Machines for Wind Turbine Detection Using Drones
Published in 2023 Intermountain Engineering, Technology and Computing (IETC) (12-05-2023)“…With the increase in demand for renewable energy and high maintenance costs caused by equipment and parts failure, the need for advanced monitoring…”
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Conference Proceeding -
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Toward the Development of Capstone Design Guidelines in Newly Established Engineering Programs
Published in 2020 Intermountain Engineering, Technology and Computing (IETC) (02-10-2020)“…Our university has recently launched a new engineering department in the College of Engineering and Technology to serve the community needs and satisfy the…”
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Conference Proceeding -
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Constitutive Relations for Asphalt Concrete Under High Rates of Loading
Published in Transportation research record (2001)“…A main characteristic of asphalt concrete (AC) is its tendency to behave elastically and viscoplastically during cold and hot seasons, respectively. An…”
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Journal Article Conference Proceeding -
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Comparison of applied loads on horizontal axis wind turbine blades using an open-source software Qblade and CFD solver ANSYS-FLUENT
Published in Wind engineering (29-08-2024)“…As the wind energy sector rapidly advances, there is an increasing demand to improve energy efficiency and prolong the lifespan of wind turbines. Among the…”
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Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools
Published in Wind engineering (30-09-2024)“…With the escalating significance of renewable energy, there exists a pressing demand for precise software and tools capable of designing and forecasting wind…”
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Experimental Investigation and Failure Analysis of Fastened GRP under Bending Using Finite Element Method and Artificial Neural Networks
Published in Sultan Qaboos University journal for science (Online) (01-12-1999)“…This paper presents a novel approach that predicts the strength and failure modes of jointed Glass Reinforced Polyester (GRP) samples under bending using…”
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PREDICTION OF RUNNING FORCES IN HIGH CURVATURE WELL BORES USING FINITE ELEMENT ANALYSIS AND ARTIFICIAL NEURAL NETWORK
Published in Petroleum science and technology (01-06-2001)“…Estimation of the vertical force at the kick-off point (k.o.p) is of major concern to field engineers involved in horizontal drilling. Prior knowledge of the…”
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