中国机械工程2016，Vol.27Issue(16)：2218-2224,7.DOI:10.3969/j.issn.1004-132X.2016.16.016
自适应无参经验小波变换及其在转子故障诊断中的应用
Adaptive Parameterless Empirical Wavelet Transform(EWT)and Its Applications to Fault Diagnosis of Rotor System
摘要
Abstract
To fulfill an adaptive separation of Fourier spectrum in EWT,an adaptive parameter-less EWT(APEWT)method was proposed herein.To overcome the shortcomings of Hilbert trans-form and estimate more accurate time-frequency distribution of a given signal,an improved normal-ized Hilbert transform(INHT)was put forward.The proposed APEWT and INHT were compared with empirical mode decomposition(EMD),ensemble EMD(EEMD)and local characteristic-scale de-composition(LCD)methods and the analysis results demonstrate the effectiveness of the proposed method.Finally,APEWT and INHT based time-frequency analysis method were applied to local rub-bing fault diagnosis of a rotor system,and the analysis results of experimental data indicate that the proposed method may fulfill rotor rubbing fault diagnosis effectively and have better effectiveness than that of EMD and EEMD methods.关键词
转子故障/碰磨/经验模态分解/希尔伯特变换Key words
rotor fault/rubbing/empirical mode decomposition/Hilbert transform分类
机械制造引用本文复制引用
郑近德,潘海洋,潘紫微,罗洁思..自适应无参经验小波变换及其在转子故障诊断中的应用[J].中国机械工程,2016,27(16):2218-2224,7.基金项目
国家自然科学基金资助项目(51505002) （51505002）
安徽省高校自然科学研究重点项目(KJ2015A080) （KJ2015A080）
福建省自然科学基金资助项目(2014J05065) （2014J05065）
