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    Magnetic Resonance Image Based Computational Modeling for Anterior Cruciate Ligament Response at Low Knee Flexion Angle 

    Source: Journal of Engineering and Science in Medical Diagnostics and Therapy:;2020:;volume( 004 ):;issue: 001:;page 011001-1
    Author(s): Bhuiyan, Ariful I.; Shamim, Nabila; Ekwaro-Osire, Stephen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A three-dimensional (3D) finite element (FE) human knee joint model developed from magnetic resonance images (MRIs) has been validated with the sets of experimental results in a normalized scale. The performance of the 3D ...
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    Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion 

    Source: Journal of Vibration and Acoustics:;2021:;volume( 144 ):;issue: 003:;page 31003-1
    Author(s): Gecgel, Ozhan; Ekwaro-Osire, Stephen; Gulbulak, Utku; Morais, Tobias Souza
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Planetary gearboxes are susceptible to premature failures due to cyclic random loadings and extreme operating conditions. Fault diagnostics strategies are crucial to increase operational safety and reduce economic costs. ...
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    Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 003:;page 031005-1
    Author(s): Wanki, Godlove; Ekwaro-Osire, Stephen; Dias, João Paulo; Cunha, Americo, Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The advent of state-of-the-art additive manufacturing (AM) processes has facilitated the manufacturing of complex orthopedic metallic implants such as femoral stems with porous portions based on lattice structures. These ...
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    Damage Classification of Composites Based on Analysis of Lamb Wave Signals Using Machine Learning 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 007 ):;issue: 001:;page 011002-1
    Author(s): Dabetwar, Shweta; Ekwaro-Osire, Stephen; Dias, João Paulo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Composite materials have a myriad of applications in complex engineering systems, and multiple structural health monitoring (SHM) strategies have been developed. However, these methods are challenging due to signal attenuation ...
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    Uncertainty Quantification in the Prediction of Remaining Useful Life Considering Multiple Failure Modes 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 011 ):;issue: 003:;page 31202-1
    Author(s): Gandur, Nazir Laureano; Ekwaro-Osire, Stephen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Despite the substantive literature on remaining useful life (RUL) prediction, less attention is paid to the influence of epistemic uncertainty and aleatory uncertainty in multiple failure behaviors in the accuracy of RUL. ...
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    Incipient Fault Point Detection Based on Multiscale Diversity Entropy 

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2023:;volume( 006 ):;issue: 003:;page 34501-1
    Author(s): Ekwaro-Osire, Stephen; Gandur, Nazir Laureano; Lopez-Salazar, Camilo Alberto
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: If the incipient fault (IF) point is not corrected, it may imply a poor prognostic framework, a false value of remaining useful life (RUL), and unexpected catastrophic failure. The use of the concept of multiscale diversity ...
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    Uncertainty Quantification for Fatigue Life of Offshore Wind Turbine Structure 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2021:;volume( 007 ):;issue: 004:;page 040901-1
    Author(s): Nispel, Abraham; Ekwaro-Osire, Stephen; Dias, João Paulo; Cunha, Americo, Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study aims to address the question: can the structural reliability of an offshore wind turbine (OWT) under fatigue loading conditions be predicted more consistently? To respond to that question this study addresses ...
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    A Probabilistic Approach for Electric Vehicle Battery Risk Estimation Based on a Safe Operating Area 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2025:;volume( 022 ):;issue: 004:;page 41011-1
    Author(s): Lopez-Salazar, Camilo Alberto; Ekwaro-Osire, Stephen; Rasty, Jahan; Parker, Olin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: -
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    Prognostics and Health Management of Wind Energy Infrastructure Systems 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2022:;volume( 008 ):;issue: 002:;page 20801-1
    Author(s): Yüce, Celalettin; Gecgel, Ozhan; Doğan, Oğuz; Dabetwar, Shweta; Yanik, Yasar; Kalay, Onur Can; Karpat, Esin; Karpat, Fatih; Ekwaro-Osire, Stephen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The improvements in wind energy infrastructure have been a constant process throughout many decades. There are new advancements in technology that can further contribute toward the prognostics and health management (PHM) ...
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    Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics 

    Source: Journal of Verification, Validation and Uncertainty Quantification:;2020:;volume( 005 ):;issue: 003:;page 031005-1
    Author(s): Wanki, Godlove; Ekwaro-Osire, Stephen; Dias, João Paulo; Cunha, Americo, Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The advent of state-of-the-art additive manufacturing (AM) processes has facilitated the manufacturing of complex orthopedic metallic implants such as femoral stems with porous portions based on lattice structures. These ...
    Request PDF
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