Luis Magadán
Luis Magadán
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L. Magadán
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Robust prediction of remaining useful lifetime of bearings using deep learning
Early Fault Classification in Rotating Machinery With Limited Data Using TabPFN
Hierarchical registration method for surface quality inspection of long products
A Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric Motors
Low-Cost Industrial IoT System for Wireless Monitoring of Electric Motors Condition
Clustered WSN for Building Energy Management Applications
Real-Time Monitoring of Electric Motors for Detection of Operating Anomalies and Predictive Maintenance
Low-cost real-time monitoring of electric motors for the Industry 4.0
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