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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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    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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