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Modeling of a flexible slider-crank mechanism with unbalance: A neural network-based inverse dynamics approach for fault identification

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Journal of Vibration and Control

Published online on

Abstract

Journal of Vibration and Control, Ahead of Print.
This study presents a neural network-based inverse dynamics method for identifying unbalance faults in flexible slider-crank mechanisms. Slider-crank mechanisms are central in reciprocating machinery, and their dynamics can be altered by unbalance and ...