Rui-ming Wang, Zhi-ying Gao, Wen-rui Wang, Yang Xue, and De-yi Fu, Dynamic characteristics of the planetary gear train excited by time-varying meshing stiffness in the wind turbine, Int. J. Miner. Metall. Mater., 25(2018), No. 9, pp. 1104-1112. https://doi.org/10.1007/s12613-018-1661-0
Cite this article as:
Rui-ming Wang, Zhi-ying Gao, Wen-rui Wang, Yang Xue, and De-yi Fu, Dynamic characteristics of the planetary gear train excited by time-varying meshing stiffness in the wind turbine, Int. J. Miner. Metall. Mater., 25(2018), No. 9, pp. 1104-1112. https://doi.org/10.1007/s12613-018-1661-0
Research Article

Dynamic characteristics of the planetary gear train excited by time-varying meshing stiffness in the wind turbine

+ Author Affiliations
  • Corresponding author:

    Zhi-ying Gao    E-mail: gaozhiying@me.ustb.edu.cn

  • Received: 8 December 2017Revised: 5 February 2018Accepted: 9 February 2018
  • Wind power has attracted increasing attention as a renewable and clean energy. Gear fault frequently occurs under extreme environment and complex loads. The time-varying meshing stiffness is one of the main excitations. This study proposes a 5 degree-of-freedom torsional vibration model for the planetary gear system. The influence of some parameters (e.g., contact ratio and phase difference) is discussed under different conditions of a single teeth pair and double pairs of teeth. The impact load caused by the teeth face fault, ramped load induced by the complex wind conditions, and the harmonic excitation are investigated. The analysis of the time-varying meshing stiffness and the dynamic meshing force shows that the dynamic design under different loads can be made to avoid resonance, can provide the basis for the gear fault location of a wind turbine, and distinguish the fault characteristics from the vibration signals.
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  • [1]
    C.Q. Zhou, Analysis of development status and prospect of wind turbines, Value Eng., 31(2016), No. 35, p. 146.
    [2]
    Y.N. Qiu, Y.H. Feng, P. Tavner, P. Richardson, G. Erdos, and B. Chen, Wind turbines SCADA alarm analysis for improving reliability, Wind Energy, 15(2012), No. 8, p. 951.
    [3]
    Z. Hameed, Y.S. Hong, Y.M. Cho, S.H. Ahn, and C.K. Song, Condition monitoring and fault detection of wind turbines and related algorithms:A review, Renewable Sustainable Energy Rev., 3(2009), No. 1, p. 1.
    [4]
    B. Lu, Y.Y. Li, Xin Li, and Z.Z. Yang, A review of recent advances in wind turbing conditon monitoring and fault diagnosis,[in] 2009 IEEE Power Electronics and Mechines in Wind Application, Lincoln, 2009, p. 109.
    [5]
    Y. Amirat, M.E.H. Benbouzid, E. Al-Ahmar, B. Bensaker. and S. Turri, A brief status on condition monitoring and fault diagnosis in wind energy conversion system, Renewable Sustainable Energy Rev., 13(2009), No. 9, p. 2629.
    [6]
    Q. Long, Research on the Dynamic Characteristics and Fault Diagnosis for Gear Drive System of Wind Turbine[Dissertation], North China Electric Power University, Beijing, 2012, p. 10.
    [7]
    B.P. Tang, W.Y. Liu, and T. Song, Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution, Renewable Energy, 35(2010), No. 12, p. 2862.
    [8]
    Q.L. Peng, The Study of Dynamic Characteristics and Optimization Design of Gear Transmission System of Wind Turbine[Dissertation], Chongqing University, Chongqing, 2013, p. 12.
    [9]
    M.H. Evans, A.D. Richardson, L. Wang, and R.J.K. Wood, Serial sectioning investigating of butterfly and white etching crack (WEC) formation in wind turbine gearbox bearings, Wear, 302(2013), No. 1-2, p. 1573.
    [10]
    A. Kahraman and R. Singh, Interactions between time-varying mesh stiffness and clearance non-linearities in a geared system, J. Sound Vib., 146(1991), No. 1, p. 135.
    [11]
    Z.M. Sun, L.H. Ji, and Y.W. Shen, Nonlinear dynamics of 2K-H planetary gear train, J. Tsinghua Univ. Sci. Technol., 43(2003), No. 5, p. 636.
    [12]
    J.L.M. Peeters, D. Vandepitte, and P. Sas, Analysis of internal drive train dynamics in a wind turbine, Wind Energy, 9(2006), No. 1-2, p. 141.
    [13]
    F. Chaari, T. Fakhfakh, and M. Haddar, Dynamic analysis of a planetary gear failure caused by tooth pitting and cracking, J. Fail. Anal. Prev., 6(2006), No. 2, p. 73.
    [14]
    J. Harmouche, C. Delpha, and D. Diallo, Incipient fault detection and diagnosis based on Kullback-Leibler divergence using principal component analysis:Part I, Signal Process., 94(2014), p. 278.
    [15]
    S. Djurovic, C.J. Crabtree, P.J. Tavner, and A.C. Smith, Condition monitoring of wind turbine induction generators with rotor electrical asymmetry, IET Renew. Power Gener., 6(2012), No. 4, p. 207.
    [16]
    R. Razavi-Far and M. Kinnaert, A multiple observers and dynamic weighting ensembles scheme for diagnosing new class faults in wind turbines, Control Eng. Pract., 21(2013), No. 9, p. 1165.
    [17]
    M. Schlechtingen, I.F. Santos, and S. Achiche, Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1:System description, Appl. Soft Comput., 13(2013), No. 1, p. 259.
    [18]
    N.H. Chandra and A.S. Sekhar, Fault detection in rotor bearing systems using time frequency techniques, Mech. Syst. Sig. Process., 72(2016), p. 105.
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