| 1 |
Condition monitoring and predictive maintenance methodologies for hydropower plants equipment
Betti A, Crisostomi E, Paolinelli G, Piazzi A, Ruffini F, Tucci M
Renewable Energy, 171, 246, 2021 |
| 2 |
Detection of mass imbalance in the rotor of wind turbines using Support Vector Machine
Hubner GR, Pinheiro H, de Souza CE, Franchi CM, da Rosa LD, Dias JP
Renewable Energy, 170, 49, 2021 |
| 3 |
A novel blind deconvolution based on sparse subspace recoding for condition monitoring of wind turbine gearbox
Ma ZP, Zhao M, Li BW, Fan HW
Renewable Energy, 170, 141, 2021 |
| 4 |
A novel wind turbine health condition monitoring method based on composite variational mode entropy and weighted distribution adaptation
Ren H, Liu WY, Shan MC, Wang X, Wang ZF
Renewable Energy, 168, 972, 2021 |
| 5 |
Predicting Temperature Profile on the Surface of a Switched Reluctance Motor Using a Fast and Accurate Magneto-Thermal Model
Nasab PS, Moallem M, Chaharsoghi ES, Caicedo-Narvaez C, Fahimi B
IEEE Transactions on Energy Conversion, 35(3), 1394, 2020 |
| 6 |
A novel wind turbine health condition monitoring method based on common features distribution adaptation
Liu WY, Ren H
International Journal of Energy Research, 44(11), 8681, 2020 |
| 7 |
Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling
Fuentes R, Dwyer-Joyce RS, Marshall MB, Wheals J, Cross EJ
Renewable Energy, 147, 776, 2020 |
| 8 |
Daily condition monitoring of grid-connected wind turbine via high-fidelity power curve and its comprehensive rating
Hu Y, Xi YH, Pan CY, Li GD, Chen BW
Renewable Energy, 146, 2095, 2020 |
| 9 |
Joint external and internal opportunistic optimisation for wind turbine considering wind velocity
Wang JH, Zhang XH, Zeng JC, Zhang YZ
Renewable Energy, 159, 380, 2020 |
| 10 |
System-wide anomaly detection in wind turbines using deep autoencoders
Renstrom N, Bangalore P, Highcock E
Renewable Energy, 157, 647, 2020 |
