For the thesis "Diagnosis of electromechanical faults in electric motors using advanced magnetic flux analysis and its implementation in hardware" , authored by Israel Zamudio Ramírez and supervised by Prof. Jose A Antonino-Daviu and Prof. Roque A. Osornio-Rios
For the paper Israel Zamudio-Ramírez, Juan Angel Ramirez-Núñez, Jose Antonino-Daviu, Roque A. Osornio-Rios, Alfredo Quijano-Lopez, Hubert Razik and René de J. Romero-Troncoso (2020). Automatic Diagnosis of Electromechanical Faults in Induction Motors Based on the Transient Analysis of the Stray Flux via MUSIC Methods , IEEE Transactions on Industry Applications
For the paper "Automatic Classification of Field Winding Faults in Synchronous Motors Based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals" authored by Miguel E. Iglesias Martinez, Jose Guerra Carmenate, Jose A Antonino-Daviu, Larisa Dunai, Carlos A. Platero, Jose Alberto Conejero and Pedro Fernandez de Córdoba, published in IEEE Transactions on Industry Applications vol. 59, no. 4, pp. 3945-3954, July-Aug. 2023.
For the paper Panagiotis A. Panagiotou, Ioannis Arvanitakis, Neophytos Lophitis, Jose A. Antonino-Daviu and Konstantinos N. Gyftakis (2019). A New Approach for Broken Rotor Bar Detection in Induction Motors Using Frequency Extraction in Stray Flux Signals , IEEE Transactions on Industry Applications
For the paper A. I. Alvarado-Hernandez; D. Checa; R.A. Osornio-Rios; A. Bustillo; J. A. Antonino-Daviu (2022). Design and Development of Virtual Reality Application Based on Infrared Thermography for the Detection of Multiple Faults in Kinematic Chains
For contributions in the electric motors condition monitoring anf fault diagnosis areas
For the paper "Electrical Monitoring of Damper Bar Condition in Salient Pole Synchronous Motors without Motor Disassembly" authored by J. Antonino-Daviu, V. Fuster-Roig, Y. Park, H. Choi, J. Park and S.B. Lee
For the "Development of advanced fault diagnosis techniques for the reliable condition monitoring of electric motors based on transient current analysis"
For the contributions to the development of new techniques for the early fault diagnosis in electric motors.
For the presentation "Fault Diagnosis on Electric Motors via Current Analysis"
For the paper "Reliable Detection of Induction Motor Rotor Faults under the Rotor Axial Air Duct Influence” authored by Chanseung Yang, Tae-June Kang, Doosoo Hyun, Sang Bin Lee, Jose Antonino-Daviu, Joan Pons-Llinares