| 1 |
Online adaptive water management fault diagnosis of PEMFC based on orthogonal linear discriminant analysis and relevance vector machine
Zhou SW, Dhupia JS
International Journal of Hydrogen Energy, 45(11), 7005, 2020 |
| 2 |
A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction
Guo PY, Cheng Z, Yang L
Journal of Power Sources, 412, 442, 2019 |
| 3 |
A new hybrid method for the prediction of the remaining useful life of a lithium-ion battery
Chang Y, Fang HJ, Zhang Y
Applied Energy, 206, 1564, 2017 |
| 4 |
Time Series Extended Finite-State Machine-Based Relevance Vector Machine Multi-Fault Prediction
Zhou ZQ, Zhu QX, Xu Y
Chemical Engineering & Technology, 40(4), 639, 2017 |
| 5 |
Prediction and synthesis of novel layered double hydroxide with desired basal spacing based on relevance vector machine
Zhang Q, Zhai XY, Xiong P, Kou L, Ji XB, Lu WC
Materials Research Bulletin, 93, 123, 2017 |
| 6 |
Nonlinear Performance Degradation Prediction of Proton Exchange Membrane Fuel Cells Using Relevance Vector Machine
Wu YM, Breaz E, Gao F, Paire D, Miraoui A
IEEE Transactions on Energy Conversion, 31(4), 1570, 2016 |
| 7 |
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 |
| 8 |
Online estimation of lithium-ion battery capacity using sparse Bayesian learning
Hu C, Jain G, Schmidt C, Strief C, Sullivan M
Journal of Power Sources, 289, 105, 2015 |
| 9 |
Optimizing multi-variables of microbial fuel cell for electricity generation with an integrated modeling and experimental approach
Fang F, Zang GL, Sun M, Yu HQ
Applied Energy, 110, 98, 2013 |
| 10 |
Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
Wang D, Miao Q, Pecht M
Journal of Power Sources, 239, 253, 2013 |
