FAULT DIAGNOSIS OF WIND TURBINE PLANETARY GEARBOX BASED ON HHT AND STRUCTURE RESONANCE DEMODULATION, 36-42.

Junshan Si, Yi Cao, and Xianjiang Shi

References

  1. [1] M. Blackman, R. Sharma, and M. Nadarajah, Model-basedcontrol of utility-scale wind turbines, Journal of Control &Intelligent Systems, 45(1), 2017, 24–33.
  2. [2] L. Noureddine, A. Hafaifa, and K. Abdellah, Rotor faultdetection of wind turbine squirrel cage induction generatorusing Teager-Kaiser energy operator, Journal of Control &Intelligent Systems, 45(1), 2017, 33–41.
  3. [3] X.F. Chen, J.M. Li, and H. Cheng, Research and applicationof condition monitoring and fault diagnosis technology in windturbines, Journal of Mechanical Engineering, 47(9), 2011,45–52.
  4. [4] Y. Lei, Z.J. He, and J. Lin, Research advances of fault diagnosis technique for planetary gearboxes, Journal of MechanicalEngineering, 47(19), 2011, 59–67.
  5. [5] Z.P. Feng, L.L. Zhao, and F.L. Chu, Vibration spectral characteristics of localized gear fault of planetary gearboxes, Proceedings of the CSEE, 33(5), 2013, 119–127.
  6. [6] Z.P. Feng, Y.X. Fan, and M. Liang, A non-stationary vibration signal analysis method for fault diagnosis of planetarygearboxes, Proceedings of the CSEE, 33(17), 2013, 105–111.
  7. [7] L. Wang, Y.X. Shen, and L.Y. Ji, Wind turbine gearbox faultdiagnosis based on wavelet de-noising and EMD, Journal ofJiangnan University (Natural Science Edition), 11(2), 2012,159–162.
  8. [8] Q.Y. Yang and D. An, EMD and wavelet transform based faultdiagnosis for wind turbine gear box, Advances in MechanicalEngineering, 1, 2013, 323–335.
  9. [9] Z.J. Lu, M.P. Jia, and Y.F. Xu, Gearbox fault detection basedon EMD and Hilbert demodulation, Journal of Mechanical &Electrical Engineering, 30(11), 2013, 1297–1230, 1232.
  10. [10] Y.H. Bai and F.T. Wang, Early recognition based on EMDand support vector machine for wind power gear box failure,Industrial Control Computer, 23(2), 2010, 70–71.
  11. [11] H.P. Li, J.M. Zhao, and W.Y. Song, Method of planetarygearbox feature extraction and condition recognition based onEMD and EDT, Journal of Vibration and Shock, 35(3), 2016,48–54.
  12. [12] Y.Y. Lei, D.T. Kong, and N.P. Li, Adaptive ensemble empiricalmode decomposition and its application to fault detectionof planetary gearboxes, Journal of Mechanical Engineering,50(3), 2014, 54–70.
  13. [13] H.M. Zhu and Y.H. Tan, Application of EMD and resonance de-modulation rolling bearing fault diagnosis, Journal of ShanghaiNormal University (Natural Sciences), 40(3), 2011, 254–258.

Important Links:

Go Back