机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2014年
19期
185-190
,共6页
液压泵%EEMD%增强因子%敏感因子%微弱故障
液壓泵%EEMD%增彊因子%敏感因子%微弱故障
액압빙%EEMD%증강인자%민감인자%미약고장
Hydraulic pump%EEMD%Enhancement factor%Sensitive factor%Faint fault
针对斜盘式轴向柱塞泵微弱故障特征难以提取的问题,提出了一种基于EEMD-增强因子自适应的液压泵微弱故障特征提取方法。对故障信号EEMD分解得到一组IMFs,采用增强因子作为各IMF权值合成信号以突出故障特征并抑制不相关成分;对合成信号EEMD分解,用敏感因子筛选出最能够表征故障信息的IMFs分量重构信号;对重构信号做Hil-bert变换求得包络谱,分析包络谱诊断出具体故障。仿真信号和液压泵实测信号的分析结果均很好地验证了该方法的有效性和优越性。
針對斜盤式軸嚮柱塞泵微弱故障特徵難以提取的問題,提齣瞭一種基于EEMD-增彊因子自適應的液壓泵微弱故障特徵提取方法。對故障信號EEMD分解得到一組IMFs,採用增彊因子作為各IMF權值閤成信號以突齣故障特徵併抑製不相關成分;對閤成信號EEMD分解,用敏感因子篩選齣最能夠錶徵故障信息的IMFs分量重構信號;對重構信號做Hil-bert變換求得包絡譜,分析包絡譜診斷齣具體故障。倣真信號和液壓泵實測信號的分析結果均很好地驗證瞭該方法的有效性和優越性。
침대사반식축향주새빙미약고장특정난이제취적문제,제출료일충기우EEMD-증강인자자괄응적액압빙미약고장특정제취방법。대고장신호EEMD분해득도일조IMFs,채용증강인자작위각IMF권치합성신호이돌출고장특정병억제불상관성분;대합성신호EEMD분해,용민감인자사선출최능구표정고장신식적IMFs분량중구신호;대중구신호주Hil-bert변환구득포락보,분석포락보진단출구체고장。방진신호화액압빙실측신호적분석결과균흔호지험증료해방법적유효성화우월성。
Aimed at the problem of difficult to extract the faint fault feature of axial plunger piston pump of inclined disk type,a method based on adaptive EEMD-enhancement factor was presented. Fault signals were decomposed into a group of intrinsic mode func-tions (IMFs)with ensemble empirical mode decomposition (EEMD),as to highlight the fault characteristic and inhibit unrelated ele-ments by using the enhancement factor of IMF as its weight to synthetic signal. The synthetic signal was decomposed with EEMD opera-tion,and the sensitive component was constructed with the IMFs which were the best represents of fault information as they were select-ed according to their sensitive factor. The envelope spectral of reconstructed signal was obtained by executing Hilbert transform to it, and the actual fault was diagnosed by the analysis of the gained envelope spectral. The validity and superiority of the method are dem-onstrated by the analysis results of simulation signal and the engineering measured data of hydraulic pump.