xiaoyinya / FWA-DBN-ELM-for-intelligent-fault-diagnosis

FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

FWA-DBN-ELM-for-fault-diagnosis

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

If this project helps you, welcome to cite it:

@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},  
}

Fireworks Algorithm

@inproceedings{tan2010fireworks,
  title={Fireworks algorithm for optimization},
  author={Tan, Ying and Zhu, Yuanchun},
  booktitle={International conference in swarm intelligence},
  pages={355--364},
  year={2010},
  organization={Springer}
}  

Others

@article{MCDONALD2012237,  
title = {Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection},  
journal = {Mechanical Systems and Signal Processing},  
volume = {33},  
pages = {237-255},  
year = {2012},  
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},   
title={Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals},   
year={2017},  
volume={64},  
number={12},  
pages={2872-2879},  
doi={10.1109/TBME.2017.2679136}  
}

Environment

Matlab 2019b

About

FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断


Languages

Language:MATLAB 100.0%