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Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion
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. ...
Prognostics and Health Management of Wind Energy Infrastructure Systems
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) ...
Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Early diagnosis in rotating machinery has been a challenge when looking toward the concept of intelligent machines. A crucial and critical component in these systems is the lubricated journal bearing, subjected to wear ...
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