Open Access
| Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 7 | |
| Section | Data and Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/201927702009 | |
| Published online | 02 April 2019 | |
- Li H, Pan D and Chen C L P 2014 Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine IEEE Trans. Systems Man & Cybernetics Systems. 44 851-862 [CrossRef] [Google Scholar]
- Hu X, Jiang J, Cao D and Bo E 2016 Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling IRE Trans. Ind. Electron. 63 2645-56. [Google Scholar]
- Guo R, Wang J, Zhang N and Dong J 2018 State prediction for the actuators of civil aircraft based on a fusion framework of relevance vector machine and autoregressive integrated moving average J. Syst. Control Eng. 1-13 [Google Scholar]
- Liu D, Wang H, Peng Y, Xie W and Liao H 2013 Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction Energies. 6 3654-68 [CrossRef] [Google Scholar]
- Liu D, Peng Y, Li J and Peng X 2013 Multiple optimized online support vector regression for adaptive time series prediction Measurement. 46 2391-404 [CrossRef] [Google Scholar]
- Chen C, Kunche S, and Pecht M 2013 Incremental learning approach for improved prediction IEEE Int. Conf. Prognostics and Health Management. pp 1-7 [Google Scholar]
- Lou J, Jiang Y, Shen Q, Shen Z and Wang Z 2015 Software reliability prediction via relevance vector regression Neurocomputing. 66-73 [Google Scholar]
- Widodo A, Shim M C, Caesarendra W and Yang B S 2011 Intelligent prognostics for battery health monitoring based on sample entropy Expert Systems with Applications 38 11763-69 [CrossRef] [Google Scholar]
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