This is the partial implementation of Matlab version of Rolling Bearing Sub-Health Recognition via Extreme Learning Machine Based on Deep Belief Network Optimized by Improved Fireworks
PSO-MCKD FWA-MCKD
@ARTICLE{9374403,
author={Luo, Hao and He, Chao and Zhou, Jianing and Zhang, Li},
journal={IEEE Access},
title={Rolling Bearing Sub-Health Recognition via Extreme Learning Machine Based on Deep Belief Network Optimized by Improved Fireworks},
year={2021},
volume={9},
number={},
pages={42013-42026},
doi={10.1109/ACCESS.2021.3064962},
url = {https://ieeexplore.ieee.org/document/9374403},
}
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author={Tan, Ying and Zhu, Yuanchun},
booktitle={International conference in swarm intelligence},
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year={2010},
organization={Springer}
}
@article{MCDONALD2012237,
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journal = {Mechanical Systems and Signal Processing},
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issn = {0888-3270},
doi = {https://doi.org/10.1016/j.ymssp.2012.06.010},
url = {https://www.sciencedirect.com/science/article/pii/S0888327012002452},
author = {Geoff L. McDonald and Qing Zhao and Ming J. Zuo},
}
@ARTICLE{7874107,
author={Azami, Hamed and Rostaghi, Mostafa and Abásolo, Daniel and Escudero, Javier},
journal={IEEE Transactions on Biomedical Engineering},
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year={2017},
volume={64},
number={12},
pages={2872-2879},
doi={10.1109/TBME.2017.2679136}
}
Matlab 2019b
- Chao He
- 22110435#bjtu.edu.cn (please replace # by @)