基于延拓EMD和GDE识别瞬时阻尼比的行星齿轮箱故障诊断

李康强1,冯志鹏2,孙宏图1,神克常1

振动与冲击 ›› 2021, Vol. 40 ›› Issue (24) : 29-35.

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振动与冲击 ›› 2021, Vol. 40 ›› Issue (24) : 29-35.
论文

基于延拓EMD和GDE识别瞬时阻尼比的行星齿轮箱故障诊断

  • 李康强1,冯志鹏2,孙宏图1,神克常1
作者信息 +

Planetary gearbox fault diagnosis via extension EMD and GDE to identify instantaneous damping ratio

  • LI Kangqiang1,FENG Zhipeng2,SUN Hongtu1,SHEN Kechang1
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文章历史 +

摘要

瞬时阻尼比可以描述机械系统在运行过程中的能量衰减,而故障产生的能量突变同样反映在瞬时阻尼比的变化波动中。基于此,提出一种通过提取瞬时阻尼比的变化特征来诊断系统故障的方法。首先利用经验模式分解(empirical mode decomposition,EMD)将复杂信号分解为单分量成分以满足生成微分方程(generating differential equation,GDE)算法需求,同时利用对称延拓消除EMD结果的端点效应,根据行星齿轮箱振动信号的特点选取合适的本质模函数(intrinsic mode function,IMF)作为敏感分量。最后利用GDE计算敏感分量的瞬时阻尼比,并根据瞬时阻尼比频谱匹配故障特征频率。仿真结果和实验结果均表明该方法能够有效的诊断行星齿轮箱故障。

Abstract

The instantaneous damping ratio can describe the vibration energy attenuation during mechanical system operation, and it also can reflect the information of energy change. Based on this, a fault diagnosis method is proposed by extracting the characteristics of the instantaneous damping ratio. In order to satisfy the mono-component requirement of generating differential equation (GDE), the signal is firstly decomposed into intrinsic mode function (IMF) components via empirical mode decomposition (EMD) and restrained the end effects in EMD by symmetrical extension. Secondly, according to the characteristics of planetary gearbox vibration signals, we choose a sensitive component for further analysis. Meanwhile, we put forward GDE to calculate the instantaneous damping ratio of sensitive component. Finally, the fault characteristic frequencies are matched according to Fourier spectrum of the instantaneous damping ratio. The proposed method is illustrated by a numerical simulated signal analysis and experimental signal of planetary gearbox.

关键词

延拓经验模式分解(EMD) / 生成微分方程(GDE) / 瞬时阻尼比 / 行星齿轮箱

Key words

extension empirical mode decomposition (EMD) / generating differential equation (GDE) / instantaneous damping ratio / planetary gearbox

引用本文

导出引用
李康强1,冯志鹏2,孙宏图1,神克常1. 基于延拓EMD和GDE识别瞬时阻尼比的行星齿轮箱故障诊断[J]. 振动与冲击, 2021, 40(24): 29-35
LI Kangqiang1,FENG Zhipeng2,SUN Hongtu1,SHEN Kechang1. Planetary gearbox fault diagnosis via extension EMD and GDE to identify instantaneous damping ratio[J]. Journal of Vibration and Shock, 2021, 40(24): 29-35

参考文献

[1] FENG Z P, ZUO M J. Vibration signal models for fault diagnosis of planetary gearboxes[J]. Journal of Sound and Vibration, 2012, 331(22):4919-4939.
[2]  FENG Z P, ZHANG D,ZUO M J. Adaptive mode decomposition methods and their applications in signal analysis for machinery fault diagnosis: a review with examples[J]. IEEE Access, 2017, PP(99):1-1.
[3] SKRIMPAS G A, URSIN T, SWEENEY C, et al. Residual signal feature extraction for gearbox planetary stage fault detection[J]. Wind Energy, 2017, 20(8).
[4] YOON J, HE D, VAN HECKE B . On the use of a single piezoelectric strain sensor for wind turbine planetary gearbox fault diagnosis[J]. IEEE Transactions on Industrial Electronics, 2015, 62(10):6585-6593.
[5] WANG L M,SHAO Y M. Crack fault classification for planetary gearbox based on feature selection technique and k-means clustering method[J]. Chinese Journal of Mechanical Engineering, 2018, 31(1):4.
[6] FENG Z P, ZUO M J. Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis[J]. Mechanical Systems & Signal Processing, 2016, 72/73:223-240.
[7] 孟庆虎, 孟庆丰, 朱永生, 等. 用于机械系统固有频率及阻尼比计算的改进频域方法[J]. 西安交通大学学报, 2015, 49(8):1-5.
MENG QINGHU, MENG QINGFENG, ZHU YONGSHENG, et al. A new frequency-domain algorithm to calculate natural frequency and damping ratio of mechanical systems[J]. Journal of Xian Jiaotong University, 2015, 49(8):1-5.
[8] FELDMAN M. Hilbert transform methods for nonparametric identification of nonlinear time varying vibration systems[J]. Mechanical Systems & Signal Processing, 2014, 47(1/2):66-77.
[9] LOH C H. Application of the empirical mode decomposition-hilbert spectrum method to identify near-fault ground-motion characteristics and structural responses[J]. Journal of Loss Prevention in the Process Industries, 2001, 91(5):1339-1357.
[10] ZAYEZDNY A, DRUCKMANN I. A new method of signal description and its applications to signal processing[J]. Signal Processing, 1991, 22(2):153-178.
[11] 李康强, 冯志鹏. 基于生成微分方程的行星齿轮箱故障振动信号解调分析[J]. 振动与冲击, 2017, 36(8):9-15.
LI Kangqiang, FENG Zhipeng. Signal demodulation via the generating differential equation method for planetary gearbox fault diagnosis[J]. Journal of Vibration and Shock, 2017, 36(8):9-15.
[12] 李康强, 冯志鹏. 迭代生成微分方程分解方法研究[J]. 工程科学学报, 2017, 39(10):1575-1583.
LI Kangqiang, FENG Zhipeng. Decomposition method of iterated generating differential equation[J]. Chinese Journal of Engineering, 2017, 39(10):1575-1583.
[13] REHMAN N U, PARK C, HUANG N E, et al. EMD via MEMD: multivariate noise-aided computation of standard EMD[J]. Advances in Adaptive Data Analysis, 2013, 05(2).
[14] FENG Z P, ZUO M J, JIAN Q, et al. Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes[J]. Mechanical Systems & Signal Processing, 2013, 40(1):56-75.
[15] 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 Z P,CHU F L.Vibration spectral characteristics of distributed gear fault of planetary gearboxes [J].Proceedings of the CSEE,2013,33(2):118-125. 

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