Open Access
Issue
Mechanics & Industry
Volume 23, 2022
Article Number 25
Number of page(s) 15
DOI https://doi.org/10.1051/meca/2022022
Published online 02 September 2022
  1. X. Wu, S. Tian, R. Ma, S. Xu et al., Study on prediction of outburst risk of coal roadway by initial gas emission law of coal body, J. Saf. Sci. Technol. 17 , 116–121 (2021) [Google Scholar]
  2. X. Liu, J. Liu, M. Qu, Numerical simulation on flame propagation laws of explosion in excavation roadway of high altitude mines, J. Saf. Sci. Technol. 16 , 67–71 (2020) [Google Scholar]
  3. Q. Zhang, Y. Yao, J. Zhao, Status of mine ventilation technology in China and prospects for intelligent development, Coal Sci. Technol. 48 , 97–103 (2020) [Google Scholar]
  4. J. Li, Starting way and adjustment method of mine fan as well as relationship, Coal Sci. Technol. 38 , 100–103 (2010) [Google Scholar]
  5. L. Yu, X. Ma, Z. Ren, S. Yan, Research of switching ventilator control without blowing-out of main ventilator of mine and its implementation, Ind. Mine Autom. Practice 36 , 133–137 (2010) [Google Scholar]
  6. Z. Wu, Research and application on mine main fans ventilation instability control, China Univ. Mining Technol. Practice 36 , 133–137 (2010) [Google Scholar]
  7. S. Dong, Design of automatic switchover control system without blowing-out of mine main ventilator based on fuzzy control, Ind. Mine Autom. Practice 41 , 39–43 (2015) [Google Scholar]
  8. Q. Wang, X. Ma, C. Yang, W. Dai, Modeling and control of mine main fans switchover system, ISA Trans. 85 , 189–199 (2019) [Google Scholar]
  9. X. Wu, X. Ma, Z. Ren, Study on coal mine main fans automatic switchover aiming at ventilation unceasing and its numerical simulation, in 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) , IEEE 2, 227–230 (2010) [Google Scholar]
  10. Q. Wang, W. Dai, C. Yang, X. Ma, Modeling and analysis of coal mine main fans switchover system, J. China Coal Soc. Practice 43 , 606–614 (2018) [Google Scholar]
  11. D. Yu, C. Sang, Y. Liu, Z. Cheng, Comparison analysis on air flow testing error of mine main ventilator, Coal Sci. Technol. 46 , 164–168 (2018) [MathSciNet] [Google Scholar]
  12. M. Li, H. Ma, Simulation research on airflow measuring method of mine main ventilator, Coal Sci. Technol. 45 , 151–155 (2017) [Google Scholar]
  13. M. Ye, Y. Yang, Research on graphic digitization and optimization of axial flow fan characteristic curve, Coal Eng. Practice 45 , 110–111+115 (2013) [Google Scholar]
  14. C. Yin, J. Liu, L. Deng, Characteristic curve of fan fitted with two positive and negative tangent parabolic curve method, J. Liaoning Tech. (Natural Science) Pract. 45 , 110–111+115 (2013) [Google Scholar]
  15. A. Faramarzi, M. Heidarinejad, B. Stephens et al., Equilibrium optimizer: a novel optimization algorithm, Knowl. Based Syst. 191 , 105190 (2020) [CrossRef] [Google Scholar]
  16. A. Wunnava et al., A novel interdependence based multilevel thresholding technique using adaptive equilibrium optimizer, Eng. Appl. Artif. Intell. 94 , 103836 (2020) [CrossRef] [Google Scholar]
  17. S. Gupta, K. Deep, S. Mirjalili, An efficient equilibrium optimizer with mutation strategy for numerical optimization, Appl. Soft Comput. 96 (2020) [Google Scholar]
  18. Y. Gao, Y. Zhou, Q. Luo, An efficient binary equilibrium optimizer algorithm for feature selection, IEEE Access 8, 140936–140963 (2020) [CrossRef] [Google Scholar]
  19. S.K. Dinkar et al., Opposition-based Laplacian equilibrium optimizer with application in image segmentation using multilevel thresholding, Exp. Syst. Appl. 174 , 114766 (2021) [CrossRef] [Google Scholar]
  20. M. Abdel-Basset, R. Mohamed, S. Mirjalili, R.K. Chakrabortty, M.J. Ryan, Solar photovoltaic parameter estimation using an improved equilibrium optimizer, Solar Energy 209 , 694–708 (2020) [CrossRef] [Google Scholar]
  21. M. Abdel-Basset, R. Mohamed, M. Abouhawwash, Balanced multi-objective optimization algorithm using improvement based reference points approach, Swarm Evolut. Comput. 60 , 100791 (2021) [CrossRef] [Google Scholar]
  22. F. Marini, B. Walczak, Particle swarm optimization (PSO). A tutorial, Chemometr. Intell. Laborat. Syst. 149 , 153–165 (2015) [CrossRef] [Google Scholar]
  23. I. Naruei, F. Keynia, Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems, Eng. Comput. 1–32 (2021) [Google Scholar]
  24. M. Jain, V. Singh, A. Rani, A novel nature-inspired algorithm for optimization: squirrel search algorithm, Swarm Evolut. Comput. 44 , 148–175 (2019) [CrossRef] [Google Scholar]
  25. S. Mirjalili, Genetic algorithm[M]//Evolutionary algorithms and neural networks (Springer, Cham, 2019), pp. 43–55 [CrossRef] [Google Scholar]
  26. Z. Ren, C. Wang, T. Ni, H. Cheng, Research on air volume of reversing without stopping ventilation based on neural network, Coal Technol. 35 , 229–231 (2016) [Google Scholar]
  27. H.Q. Ge, X.P. Ma, X.Z. Wu et al., Fuzzy PID control of mine main fans switchover aiming at invariant ventilation [C], in 2011 International Conference on Intelligence Science and Information Engineering (IEEE, 2011), pp. 325–328. [Google Scholar]

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