• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2015, Vol. 51 ›› Issue (1): 138-145.doi: 10.3901/JME.2015.01.138

• 机械动力学 • 上一篇    下一篇

改进的希尔伯特-黄变换及其在滚动轴承故障诊断中的应用

郑近德,程军圣   

  1. 湖南大学汽车车身先进设计制造国家重点实验室 长沙 410082
  • 出版日期:2015-01-05 发布日期:2015-01-05
  • 作者简介:郑近德(通信作者),男,1986年出生,博士研究生。主要从事动态信号处理和机械故障诊断等方面的研究。
  • 基金资助:
    重庆市科委自然科学基金计划(CSTC2012JJA40024)和国家高技术研究发展计划(863计划,2012AA040107)资助项目

Improved Hilbert-Huang Transform and Its Applications to Rolling Bearing Fault Diagnosis

ZHENG Jinde, CHENG Junsheng   

  1. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082
  • Online:2015-01-05 Published:2015-01-05

摘要: 希尔伯特黄变换(Hilbert-Huang transform, HHT)是一种优秀的时频分析方法,包含经验模态分解(Empirical mode decomposition, EMD)和希尔伯特变换(Hilbert transform, HT)两部分,通过EMD对信号进行分解,再对得到的内禀模态函数(Intrinsic mode function, IMF)进行HT解调。针对EMD存在的包络误差,模态混淆,端点效应以及HT易产生负频率等缺陷,提出一种改进的HHT方法(Improved HHT, IHHT),IHHT包括广义经验模态分解(Generalized EMD, GEMD)和改进的直接正交(Improved direct quadrature, IDQ)解调,GEMD通过定义多种均值曲线,从得到的多个IMF中选择最优分量,从而保证了每阶分量的优越性;再采用改进的经验调幅调频分解和IDQ方法对信号进行解调,提高了分解和解调的精确性、抑制了端点效应的产生。将提出的方法应用于滚动轴承故障诊断,分析结果表明IHHT是一种有效的信号处理方法。

关键词: 故障诊断, 广义经验模态分解, 滚动轴承, 瞬时频率, 希尔伯特黄变换

Abstract: Hilbert-Huang transform (HHT) is an excellent time-frequency analysis method, which contains empirical mode decomposition (EMD) and Hilbert transform (HT). A given signal is decomposed by EMD and then each of the obtained intrinsic mode functions (IMFs) is demodulated by HT. Aim to solve the problems of envelope errors, mode mixing and end effort of EMD method and negative frequency of HT, an improved HHT method (IHHT) is proposed, which contains generalized EMD (GEMD) and improved direct quadrature (IDQ) demodulation. By GEMD several different IMFs are obtained by defining different mean curves and in each rank the best IMF is selected. The improved empirical AM-FM decomposition and IDQ are used to demodulate the component. The proposed method improved the accuracy of decomposition and demodulation and restrained the end effort. IHHT is applied to rolling bearing experiment data and the analysis results indicate that IHHT is an effective signal processing method.

Key words: fault diagnosis, generalized empirical mode decomposition (GEMD), Hilbert-Huang transform, instantaneous frequency, rolling bearing

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