A NOVEL MINING BELT CONVEYOR INSPECTION ROBOT USED IN EXTREMELY COLD CONDITIONS, 155-169.

Yahui Zhang, Linxuan Wang, Siyan Li, Aimin Li, Haopeng Li, and Hongliang Zhang

References

  1. [1] Y. Liu, C. Miao, X. Li, J. Ji, and D. Meng, Research on thefault analysis method of belt conveyor idlers based on soundand thermal infrared image features, Measurement, 186, 2021,110177.
  2. [2] V. Muralidharan, S. Ravikumar, and H. Kangasabapathy,Condition monitoring of self aligning carrying idler (SAI) inbelt-conveyor system using statistical features and decisiontree algorithm, Measurement, 58, 2014, 274–279.
  3. [3] R. Carvalho, R. Nascimento, T. D’Angelo, S. Delabrida,and L. Garcia, A UAV-based framework for semi-automatedthermographic inspection of belt conveyors in the miningindustry, Sensors, 22(8), 2020, 2243.
  4. [4] X. Zhang, S. Wan, Y. He, X. Wang, and L. Dou, Teagerenergy spectral kurtosis of wavelet packet transform and itsapplication in locating the sound source of fault bearing of beltconveyor, Measurement, 173, 2020, 108367.
  5. [5] J. Hebda-Sobkowicz, R. Zimroz, A. Wyoma´nska, and J.Antoni, Infogram performance analysis and its enhancementfor bearings diagnostics in presence of non-Gaussian noise,Mechanical Systems and Signal Processing, 170, 2022, 108764.
  6. [6] T. Ren, Y. Zhang, Y. Li, and L. Xian, Development ofan active helical drive self-balancing in-pipe robot based oncompound planetary gearing, International Journal of Robotics& Automation, 34(3), 2019, 235–242.
  7. [7] M.A. Fanni, M.G. Alkalla, and A. Mohamed, Propeller-typeskid steering climbing robot based on a hybrid actuationsystem, International Journal of Robotics & Automation, 2018.
  8. [8] Y. Yang, C. Hou, T. Qiao, H. Zhang, and L. Ma, Longitudinaltear early-warning method for conveyor belt based on infraredvision, Measurement, 147, 2019, 106817.
  9. [9] J. Sawada, K. Kusumoto, Y. Maikawa, T. Munakata, and Y.Ishikawa, A mobile robot for inspection of power transmissionlines, IEEE Transactions on Power Delivery, 6(1), 1991,309–315.
  10. [10] A. Fonseca, R. Abdo, and J. Alberto, Expliner—robot forinspection of transmission lines, IEEE Transactions on Power& Energy, 130(130), 2008, 3978–3984.
  11. [11] X. Huang, F. Zhao, T. Tao, and X. Mei, A newly developedcorner smoothing methodology based on clothoid splines forhigh speed machine tools, Robotics and Computer-IntegratedManufacturing, 70(4), 2021, 102106.
  12. [12] A. Maldonado-Ramirez, R. Rios-Cabrera, and I. Lopez-Juarez,A visual path-following learning approach for industrial robotsusing DRL, Robotics and Computer-Integrated Manufacturing,71(6419), 2021, 102130.
  13. [13] N. Pouliot, and S. Montambault, Introduction of a LIDAR-based obstacle detection system on the LineScout power linerobot, Proc. IEEE ASME Int. Conf. on Advanced IntelligentMechatronics, Besan¸con, 2014, 1734–1740.
  14. [14] S. Montambault, and N. Pouliot, Reporting on a large oceaninlet crossing live transmission line inspection performed byLineScout technology, Proc. IEEE Int. Conf. on Robotics andAutomation, Anchorage, AK, 2010, 1102–1103.
  15. [15] A. Rajendran and B. Karthik, Design and analysis of fuzzy andPI controllers for switched reluctance motor drive, MaterialsToday: Proceedings, 37(3), 2021, 1608–1612.
  16. [16] G. Garcia, F. Rocha, M. Torre, W. Serrantola, and G. Freitas,ROSI: A novel robotic method for belt conveyor structuresinspection, Proc. 19th Int. Conf. on Advanced Robotics, BeloHorizonte, 2019, 326–331.
  17. [17] R. Dong, C. Liu, X. Wang, and X. Han, 3D path planning ofUAVs for transmission lines inspection, International Journalof Robotics & Automation, 35(4), 2020, 146–158.
  18. [18] K. Nakamura, Y. Yoshida, E. Sato-Shimokawara, and T.Yamaguchi, Service robot system based on networked robotsfor using personal attribute and to get preference attribute,International Journal of Robotics and Automation, 24(3),2009, 255–262.
  19. [19] V. Pasandi, H. Sadeghian, M. Keshmiri, and H. Karimpour,A novel central pattern generator for cyclic motions includingimpact, International Journal of Robotics & Automation,37(3), 2022, 280–287.
  20. [20] J. Sawada, K. Kusumoto, Y. Maikawa, T. Munakata, and Y.Ishikawa, A mobile robot for inspection of power transmissionlines, IEEE Transactions on Power Delivery, 6(1), 1991,309–315.
  21. [21] T. Guo, H. Wang, Y. Liu, M. Li, and Y. Wang, Vision-basedmobile robot leader–follower control using model predictivecontrol, International Journal of Robotics & Automation,35(5), 2019, 544–552.
  22. [22] Q. Yu, G. Wang, T. Ren, L. Wu, and K. Chen, An efficientalgorithm for inverse kinematics of robots with non-sphericalwrist, International Journal of Robotics & Automation, 33(1),2018, 45–52.168

Important Links:

Go Back