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Alfonso Fernandez-del-Rincon

University of Cantabria

Avda. Los Castros, s/n

Santander 39005

Spain

  • University of Cantabria

SCHOLARLY PAPERS

4

DOWNLOADS

114

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Probabilistic Analysis of the Mesh Load Factor in Wind-Turbine Planetary Transmissions: Tooth Thickness Errors

Number of pages: 24 Posted: 14 Feb 2023
Alberto Diez-Ibarbia, Javier Sanchez-Espiga, Alfonso Fernandez-del-Rincon, Jose Calvo-Irisarri, Miguel Iglesias and Fernando Viadero
affiliation not provided to SSRN, University of Cantabria, University of Cantabria, affiliation not provided to SSRN, University of Cantabria and University of Cantabria
Downloads 36 (1,236,159)

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Mesh Load Factor, Planetary Transmission, Methods of Monte Carlo and Taguchi, Tooth Thickness Error

2.

Decision making for wind turbine pitch transmissions based on digital twins accounting for structural integrity

Number of pages: 30 Posted: 28 Mar 2026
Maite García-Pérez, Ander Zarketa-Astigarraga, Markel Penalba, Mikel Escalero, Mireia Olave and Alfonso Fernandez-del-Rincon
affiliation not provided to SSRN, Mondragon University, Faculty of Engineering, Mondragon Univeristy, affiliation not provided to SSRN, affiliation not provided to SSRN and University of Cantabria
Downloads 31 (1,359,097)

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Gear wear, Contact mechanics, Physics-based modelling, Aeroelastic loads, Digital twin, Wind turbine pitch system

3.

EVALUATION OF THE ACCURACY OF WEBER-BANASCHEK’S FORMULATION IN PLANETARY TRANSMISSIONS

Number of pages: 19 Posted: 15 May 2026
Javier Sanchez-Espiga, Nuno Dourado, Luca Bonaiti, Alfonso Fernandez-del-Rincon, Filipe Marques, Lorenzo Valsecchi, Paulo Flores, Carlo Gorla and Fernando Viadero
University of Cantabria, University of Minho, Polytechnic University of Milan, University of Cantabria, University of Minho, affiliation not provided to SSRN, University of Minho, Polytechnic University of Milan and University of Cantabria
Downloads 28 (1,481,165)

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Weber-Banaschek, Hertzian contact, Planetary gears, External and internal gears, Spurgears, Finite element modelling.

4.

Supervised Learning Neural Networks applied to the prediction of the Mesh Load Factor in a Wind Turbine Planetary Gearbox

Number of pages: 26 Posted: 08 Apr 2026
Javier Sanchez-Espiga, Alberto Diez-Ibarbia, Fernando Martin-Manrique, Miguel Iglesias, Luca Bonaiti, Alfonso Fernandez-del-Rincon and Fernando Viadero
University of Cantabria, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Polytechnic University of Milan, University of Cantabria and University of Cantabria
Downloads 19 (1,509,872)

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Planetary gear transmission, Mesh Load Factor, Supervised machine learning, Manufacturing errors, neural networks, Artificial Intelligence