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cs.LG2024
Validation of artificial neural networks to model the acoustic behaviour of induction motors
F. J. Jimenez-Romero, D. Guijo-Rubio, F. R. Lara-Raya +2
In the last decade, the sound quality of electric induction motors is a hot topic in the research field. Specially, due to its high number of applications, the population is expose…
cs.LG2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez +3
Predictive Maintenance (PdM) methods aim to facilitate the scheduling of maintenance work before equipment failure. In this context, detecting early faults in automated teller mach…