Ruben Puche-Panadero

ResearcherID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 7

Top Topics

Molecularly Imprinted

Sentinel Lymph Node

Top Venues

Sensors (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Carla Terron-Santiago, Javier Martínez-Román, Ruben Puche-Panadero, Ángel Sapena-Bañó, Jordi Burriel-Valencia, Manuel Pineda-Sanchez
Analytical Model of Eccentric Induction Machines Using the Conformal Winding Tensor Approach. Sensors (Basel, Switzerland) 22 (9) (2022)
Carla Terron-Santiago, Javier Martínez-Román, Ruben Puche-Panadero, Ángel Sapena-Bañó
A Review of Techniques Used for Induction Machine Fault Modelling. Sensors (Basel, Switzerland) 21 (14) (2021)
Carla Terron-Santiago, Javier Martínez-Román, Ruben Puche-Panadero, Ángel Sapena-Bañó
Low-Computational-Cost Hybrid FEM-Analytical Induction Machine Model for the Diagnosis of Rotor Eccentricity, Based on Sparse Identification Techniques and Trigonometric Interpolation. Sensors (Basel, Switzerland) 21 (21) (2021)
Javier Martínez-Román, Ruben Puche-Panadero, Angel Sapena-Bano, Ángel Sapena-Bañó, Jordi Burriel-Valencia, Manuel Pineda-Sanchez
Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach. Sensors (Basel, Switzerland) 21 (15) (2021)
Javier Martínez-Román, Ruben Puche-Panadero, Ángel Sapena-Bañó, Manuel Pineda-Sanchez, Juan Perez-Cruz, Martin Riera-Guasp
Winding Tensor Approach for the Analytical Computation of the Inductance Matrix in Eccentric Induction Machines. Sensors (Basel, Switzerland) 20 (11) (2020)
Ruben Puche-Panadero, Javier Martínez-Román, Ángel Sapena-Bañó, Jordi Burriel-Valencia, Martin Riera-Guasp
Fault Diagnosis in the Slip-Frequency Plane of Induction Machines Working in Time-Varying Conditions. Sensors (Basel, Switzerland) 20 (12) (2020)
Manuel Pineda-Sanchez, Ruben Puche-Panadero, Javier Martínez-Román, Ángel Sapena-Bañó, Martin Riera-Guasp, Juan Perez-Cruz
Partial Inductance Model of Induction Machines for Fault Diagnosis. Sensors (Basel, Switzerland) 18 (7) (2018)