Author:
Long Zhenhua,Zhou Zhihao,Suo Pengfei,Yao Peng,Bai Mingliang,Liu Jinfu,Yu Daren
Funder
National Natural Science Foundation of China
Reference33 articles.
1. Li, J., Liu Z., and Ye R. Current Status and Prospects of Gas Turbine Technology Application. Journal of Physics: Conference Series. Vol. 2108. No. 1. IOP Publishing, 2021. 10.1088/1742-6596/2108/1/012009.
2. A novel modification approach based on MTLBO algorithm for optimal management of renewable micro-grids in power systems;Vosoogh;J. Intell. Fuzzy Syst.,2014
3. Effect of plug-in electric vehicles demand on the renewable micro-grids;Abbasi;J. Intell. Fuzzy Syst.,2015
4. A comparative study on fault detection methods for gas turbine combustion systems;Liu;Energies,2021
5. Yan, W., & Yu, L. On accurate and reliable anomaly detection for gas turbine combustors: A deep learning approach. arXiv preprint arXiv:1908.09238, 2019.
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