Miguel Delgado-Prieto (Member, IEEE) received the M.S. and Ph.D. degrees in electronics engineering from the Universitat Politècnica de Catalunya (UPC) Barcelona, Spain, in 2007 and 2012, respectively. In 2008, he joined the MCIA Research Center, Electronic Engineering Department, UPC, where he currently carries out research and technology transfer activities at national and international levels. Since 2004, he has occupied different teaching positions at the UPC, where he is currently an Adjunct Lecturer in the Electronic Engineering Department. His research interests include fault diagnosis in electromechanical machines, fault-detection algorithms, machine learning, signal-processing methods, and digital systems.
Research Keywords & Expertise
Cyber-Physical Systems
Internet Of Things (Io...
Electrical Machines An...
Machine and Deep Learn...
Fault detection and di...
Fingerprints
22%
Fault detection and diagnosis methods
11%
Electrical Machines And Drive
Short Biography
Miguel Delgado-Prieto (Member, IEEE) received the M.S. and Ph.D. degrees in electronics engineering from the Universitat Politècnica de Catalunya (UPC) Barcelona, Spain, in 2007 and 2012, respectively. In 2008, he joined the MCIA Research Center, Electronic Engineering Department, UPC, where he currently carries out research and technology transfer activities at national and international levels. Since 2004, he has occupied different teaching positions at the UPC, where he is currently an Adjunct Lecturer in the Electronic Engineering Department. His research interests include fault diagnosis in electromechanical machines, fault-detection algorithms, machine learning, signal-processing methods, and digital systems.