TY  - JOUR 
AU  - Maestro Prieto, José Alberto
AU  - Ramírez Sanz, José Miguel
AU  - Bustillo Iglesias, Andrés
AU  - Rodríguez Diez, Juan José
PY  - 2024
SN  - 0924-669X
UR  - http://hdl.handle.net/10259/9983
AB  - Both wear-induced bearing failure and misalignment of the powertrain between the rotor and the electrical generator are common failure modes in wind-turbine motors. In this study, Semi-Supervised Learning (SSL) is applied to a fault detection and...
LA  - eng
PB  - Springer
KW  - Wind turbine
KW  - Powertrain failures
KW  - Bearing failures
KW  - Semi-supervised learning
KW  - Fault detection and diagnosis
KW  - Informática
KW  - Computer science
KW  - Bioinformática
KW  - Bioinformatics
TI  - Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults
DO  - 10.1007/s10489-024-05373-6
T2  - Applied Intelligence
VL  - 54
M2  - 4525
ER  -