| 1 |
Degradation prediction of encapsulant-glass adhesion in the photovoltaic module under outdoor and accelerated exposures
Dadaniya A, Datla NV
Solar Energy, 208, 419, 2020 |
| 2 |
Degradation prediction of proton exchange membrane fuel cell based on grey neural network model and particle swarm optimization
Chen K, Laghrouche S, Djerdir A
Energy Conversion and Management, 195, 810, 2019 |
| 3 |
Fuel cell health prognosis using Unscented Kalman Filter: Postal fuel cell electric vehicles case study
Chen K, Laghrouche S, Djerdir A
International Journal of Hydrogen Energy, 44(3), 1930, 2019 |
| 4 |
Degradation prediction of PEM fuel cell using a moving window based hybrid prognostic approach
Zhou DM, Gao F, Breaz E, Ravey A, Miraoui A
Energy, 138, 1175, 2017 |
| 5 |
Model-based prediction of the ohmic resistance of metallic interconnects from oxide scale growth based on scanning electron microscopy
Linder M, Hocker T, Holzer L, Friedrich KA, Iwanschitz B, Mai A, Schuler JA
Journal of Power Sources, 272, 595, 2014 |
| 6 |
Cr2O3 scale growth rates on metallic interconnectors derived from 40,000 h solid oxide fuel cell stack operation
Linder M, Hocker T, Holzer L, Friedrich KA, Iwanschitz B, Mai A, Schuler JA
Journal of Power Sources, 243, 508, 2013 |
| 7 |
Durability Study of Recycled Glass-Fiber-Reinforced Polyamide-66 in a Service-Related Environment
Eriksson PA, Boydell P, Manson JA, Albertsson AC
Journal of Applied Polymer Science, 65(8), 1631, 1997 |
