Project EDNALast updated on Dec 29, 2022NPLuis MagadánAssistant Professor DoctorPublicationsExplainable and interpretable bearing fault classification and diagnosis under limited dataRotating machinery plays an essential role in various industrial processes such as manufacturing, power generation, and transportation. …L. Magadán, C. Ruíz-Cárcel, J. C. Granda, F. J. Suárez, A. StarrPDF Cite Project DOIRobust prediction of remaining useful lifetime of bearings using deep learningPredicting the remaining useful lifetime (RUL) of bearings in electric motors is crucial to reduce repair costs in industrial …L. Magadán, J. C. Granda, F. J. SuárezPDF Cite Project DOIEarly Fault Classification in Rotating Machinery With Limited Data Using TabPFNIntelligent fault detection and classification is a cornerstone of prognostic and health management of rotating machinery (RM) …L. Magadán, J. Roldán-Gómez, J. C. Granda, F. J. SuárezPDF Cite Project DOIHierarchical registration method for surface quality inspection of long productsManufacturing industry often uses 3D scanning technologies to inspect their products. Some of these techniques produce a point cloud …F. J. delaCalle, D. F. García, R. Usamentiaga, P. Nuño, L. MagadánPDF Cite Project DOIA Robust Health Prognostics Technique for Failure Diagnosis and the Remaining Useful Lifetime Predictions of Bearings in Electric MotorsRemaining useful lifetime (RUL) predictions of electric motors are of vital importance in the maintenance and reduction of repair …L. Magadán, F. J. Suárez, J. C. Granda, F. J. delaCalle, D. F. GarcíaPDF Cite Project DOI
