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    A Fault Detection Framework Based on Data-Driven Digital Shadows 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 001:;page 11103-1
    Author(s): Michalski, Miguel Angelo de Carvalho; Melani, Arthur Henrique de Andrade; da Silva, Renan Favarão; de Souza, Gilberto Francisco Martha
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The popularization of Industry 4.0 and its technological pillars has allowed prognostics and health management (PHM) strategies to be applied in complex systems to optimize their performance and extend their useful life ...
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    A Framework for In-Service Life Extension of Hydroelectric Generation Assets 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2022:;volume( 008 ):;issue: 004:;page 41105
    Author(s): Melani, Arthur Henrique de Andrade;Michalski, Miguel Angelo de Carvalho;da Silva, Renan Favarão;de Souza, Gilberto Francisco Martha
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The integrity assessment of aged or worn out large electromechanical equipment units, such as in hydroelectric generators, for possible life extension has been identified as a growing challenge in the electrical power ...
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    Fuzzy-FMSA: Evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 003:;page 031001-1
    Author(s): Murad, Carlos Alberto; Melani, Arthur Henrique de Andrade; Michalski, Miguel Angelo de Carvalho; Caminada Netto, Adherbal; de Souza, Gilberto Francisco Martha; Nabeta, Silvio Ikuyo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Failure mode and symptoms analysis (FMSA) is a relatively new and still not very much employed variation of failure modes, effects and criticality analysis (FMECA), a technique broadly used in reliability, safety, and ...
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