| 1 |
New prognosis approach for preventive and predictive maintenance - Application to a distillation column
Daher A, Hoblos G, Khalil M, Chetouani Y
Chemical Engineering Research & Design, 153, 162, 2020 |
| 2 |
Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system
Liu C, Wang YJ, Chen ZH
Energy, 166, 796, 2019 |
| 3 |
A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries
Yang FF, Song XB, Dong GZ, Tsui KL
Energy, 171, 1173, 2019 |
| 4 |
Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks
Liu JW, Li Q, Chen WR, Yan Y, Qiu YB, Cao TQ
International Journal of Hydrogen Energy, 44(11), 5470, 2019 |
| 5 |
A hybrid model based on support vector regression and differential evolution for remaining useful lifetime prediction of lithium-ion batteries
Wang FK, Mamo T
Journal of Power Sources, 401, 49, 2018 |
| 6 |
A lead-acid battery's remaining useful life prediction by using electrochemical model in the Particle Filtering, framework
Lyu C, Lai QZ, Ge TF, Yu HH, Wang LX, Ma N
Energy, 120, 975, 2017 |
| 7 |
State of health estimation and remaining useful life prediction of solid oxide fuel cell stack
Dolenc B, Boskoski P, Stepancic M, Pohjoranta A, Juricic D
Energy Conversion and Management, 148, 993, 2017 |
| 8 |
A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
Zhou YP, Huang MH, Chen YP, Tao Y
Journal of Power Sources, 321, 1, 2016 |
| 9 |
A naive Bayes model for robust remaining useful life prediction of lithium-ion battery
Ng SSY, Xing YJ, Tsui KL
Applied Energy, 118, 114, 2014 |
