Name
Abstract | ||
|---|---|---|
•A gradient boosted regression model is proposed for RUL prediction.•Optimal parameters using the ABC algorithm can improve prediction accuracy.•Proposed model performs better than LSTM, EMD-LSTM, Elman-LSTM, RFR models.•MAPEs of proposed model for four unseen data are 0.70%, 0.62%, 0.87% and 0.46%. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.cie.2020.106494 | Computers & Industrial Engineering |
Keywords | DocType | Volume |
Remaining useful life,Prismatic cell,Gradient boosted regression,Artificial bee colony algorithm | Journal | 144 |
ISSN | Citations | PageRank |
0360-8352 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fu-Kwun Wang | 1 | 94 | 22.41 |
| Tadele Mamo | 2 | 0 | 0.34 |