基于EMD-EDT的行星齿轮箱特征提取及状态识别方法研究

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振动与冲击 ›› 2016, Vol. 35 ›› Issue (3) : 48-54.

论文

李海平，赵建民，宋文渊

作者信息 +

Research on the method of planetary gearbox feature extraction and condition recognition based on EMD and EDT

LI Hai-ping，ZHAO Jian-min, SONG Wen-yuan

Author information +

文章历史 +

摘要

针对行星齿轮箱特征提取及状态识别中存在的难点问题，本文首先总结适用于行星齿轮箱状态识别的36个特征参数并详细说明各参数的来源及提取方法，提出基于EDT的两阶段特征参数选择及加权方法，得到新的组合特征参数。提出基于EMD-EDT的行星齿轮箱状态识别方法；首先提出基于能量比的包含敏感故障信息的固有模态函数（IMF）选择方法，然后选择提取筛选出的各IMF的组合特征参数构成特征矩阵作为EDT的计算输入，最后智能的输出评估结果。利用行星齿轮箱预置故障实验数据验证所提出方法的可行性和有效性及EMD分解、特征选择和加权过程的必要性。

Abstract

Aim at the difficulties of planetary gearbox feature extraction and condition recognition, this paper summarizes 36 suitable feature parameters for planetary gearbox condition recognition and introduces the origin and extraction method of each parameter. And proposes a two-stage characteristic parameters selection and weighted method based on EDT and get a new combination characteristic parameter. An IMF selection method is proposed based on energy ratio. And then a planetary gearbox condition recognition method is proposed based on EMD and EDT. First, extract the new combination feature parameter of each selected IMF and constitute the characteristic matrix as the input of EDT calculating, and then output the evaluation results intelligently. Planetary gearbox introduced fault experiment data is utilized to validate the effectiveness of the proposed method and the necessity of EMD, feature selection and weighting.

导出引用

李海平，赵建民，宋文渊. 基于EMD-EDT的行星齿轮箱特征提取及状态识别方法研究[J]. 振动与冲击, 2016, 35(3): 48-54

LI Hai-ping，ZHAO Jian-min, SONG Wen-yuan. Research on the method of planetary gearbox feature extraction and condition recognition based on EMD and EDT[J]. Journal of Vibration and Shock, 2016, 35(3): 48-54

参考文献

[1] 雷亚国, 何正嘉, 林京，等. 行星齿轮箱故障诊断技术的研究进展[J]. 机械工程学报, 2011, 47(19): 59-67.
LEI Ya-guo, HE Zheng-jia, LIN Jing, et al. Research advances of fault diagnosis technique for planetary gearboxes [J]. Journal of mechanical engineering, 2011, 47(19): 59-67.
[2] 冯志鹏, 褚福磊. 行星齿轮箱齿轮分布式故障振动频谱特征[J]. 中国电机工程学报, 2013, 33(2): 118-125.
FENG Zhi-peng, CHU Fu-lei. Vibration spectral characteristics of diatributed gear fault of planetary gearboxes [J]. Proceedings of the CSEE, 2013, 33(2): 118-125.
[3] 冯志鹏, 赵镭镭, 褚福磊. 行星齿轮箱齿轮局部故障振动频谱特征[J], 中国电机工程学报, 2013, 33(5): 119-127.
FENG Zhi-peng, ZHAO Lei-lei, CHU Fu-lei. Vibration spectral characteristics of localized gear fault of planetary gearboxes [J]. Proceedings of the CSEE, 2013, 33(5): 119-127.
[4] 冯志鹏, 赵镭镭, 褚福磊. 行星齿轮箱故障诊断的幅值解调分析方法[J], 中国电机工程学报, 2013, 33(8): 107-111．
FENG Zhi-peng, ZHAO Lei-lei, CHU Fu-lei. Amplitude demodulation analysis for fault diagnosis of planetary gearboxes [J]. Proceedings of the CSEE, 2013, 33(8): 107-111.
[5] 冯志鹏, 褚福磊. 行星齿轮箱故障诊断的频率解调分析方法[J]. 中国电机工程学报, 2013, 33(11): 112-117.
FENG Zhi-peng, CHU Fu-lei. Frequency demodulation analysis method for fault diagnosis of planetary gearboxes [J]. Proceedings of the CSEE, 2013, 33(11): 112-117.
[6] 冯志鹏, 褚福磊. 行星齿轮箱故障诊断的扭转振动信号分析方法[J]. 中国电机工程学报, 2013, 33(14): 101-106.
FENG Zhi-peng, CHU Fu-lei. Torsional vibration signal analysis method for fault diagnosis of planetary gearboxes [J]. Proceedings of the CSEE, 2013, 33(14): 101-106.
[7] 冯志鹏, 范寅夕, LIANG Ming, 等. 行星齿轮箱故障诊断的非平稳振动信号分析方法[J]. 中国电机工程学报, 2012, 33: 1-6.
FENG Zhi-peng, FAN Yin-xi, LIANG Ming, et al. Nonstationary vibration signal analysis method for planetary gearbox fault diagnosis [J]. Proceedings of the CSEE, 2012, 33: 1-6.
[8]Lei, Y.G.; Zuo, M.J. Gear crack level identification based on weighted K nearest neighbor classification algorithm. Mechanical Systems and Signal Processing. 2009; 23; 1535-1547.
[9] Huang, N.E., Shen, Z., Long, S.R. et al. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary time series analysis [C]. Proceeding of the Royal Society of London 1998, Series A, 454, 903-995.
[10] Huang, N.E., Shen, Z., and Long, S.R. A New View of Nonlinear Water Waves: the Hilbert Spectrum [J]. Annual Review of Fluid Mechanics 1999, 31, 417-457.
[11]Wu, Z., and Huang, N.E. A Study of the Characteristics of White Noise using the Empirical Mode Decomposition Method [C]. Proceeding of the Royal Society of London 2004, Series A, 460, 1597-1611.
[12]Huang, N.E., and Shen, S.P. Hilbert-Huang Transform and its Applications [J]. Singapore: World Scientific 2005, 1-16.
[13]Huang, N.E., and Wu, Z. A Review on Hilbert-Huang Transform: Method and its Application to Geophysical Studies [J]. Reviews of Geophysics 2008, 46, 1-23.
[14]Li, H.P., Zhao, J.M., Zhang, X.H., et al. Gear fault diagnosis and damage level identification based on Hilbert transform and Euclidean distance technique [J]. Journal of vibroengineering, 2014, 16(8): 4137-4151.
[15]Samuel, P.D.; Pines, D.J. A review of vibration-based techniques for helicopter transmission diagnostics. Journal of Sound and Vibration. 2005; 282; 475-508.
[16]Lebold, M.; McClintic, K.; Campbell, R.; Byington, C.; Maynard, K. Review of vibration analysis methods for gearbox diagnostics and prognostics. Proceedings of the 54th Meeting of the Society for Machinery Failure Prevention Technology. 2000; 623-634.
[17]Liu, Zh. L.; Qu, J.; Zuo, M.J.; Xu, H.B. Fault level diagnosis for planetary gearboxes using hybrid kernel feature selection and kernel fisher discriminant analysis. Int J Adv Manuf Technol. 2013; 67; 1217-1230.