本文選題：CEEMD + 廣義形態(tài)差值濾波器��； 參考：《華中師范大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年03期

【摘要】：為了提取滾動(dòng)軸承早期微弱故障特征信息,提出一種互補(bǔ)總體平均經(jīng)驗(yàn)?zāi)B(tài)分解(Complementary Ensemble Empirical Mode Decomposition,CEEMD)與廣義形態(tài)差值濾波結(jié)合的故障診斷方法.該方法首先對(duì)振動(dòng)信號(hào)進(jìn)行CEEMD分解成若干不同尺度的本征模函數(shù)(Intrinsic Mode Function,IMF)分量,利用相關(guān)系數(shù)-峭度準(zhǔn)則來選取故障信息豐富的IMF分量信號(hào),并對(duì)其進(jìn)行重構(gòu);然后采用廣義形態(tài)差值濾波器對(duì)重構(gòu)后的信號(hào)進(jìn)行濾波,以濾除噪聲干擾;最后利用Teager能量算子(Teager-Kaiser Energy Operator,TKEO)對(duì)去噪后的振動(dòng)信號(hào)進(jìn)行分析,提取振動(dòng)信號(hào)的故障特征.滾動(dòng)軸承振動(dòng)信號(hào)分析試驗(yàn)結(jié)果證明了本文方法的有效性.
[Abstract]:In order to extract the weak fault feature information of rolling bearings in the early stage, a fault diagnosis method based on complementary Ensemble Empirical Mode error filtering and generalized morphological difference filtering is proposed.In this method, the vibration signal is firstly decomposed into intrinsic Mode function (IMF) components of different scales by CEEMD. The correlation-kurtosis criterion is used to select and reconstruct the IMF component signal with abundant fault information.Then the reconstructed signal is filtered by the generalized morphological difference filter to filter the noise interference. Finally, the vibration signal after denoising is analyzed by using the Teager energy operator Teager-Kaiser Energy operator TKEO, and the fault characteristics of the vibration signal are extracted.The result of vibration signal analysis of rolling bearing proves the effectiveness of this method.
【作者單位】： 昆明理工大學(xué)信息工程與自動(dòng)化學(xué)院;云南省礦物管道輸送工程技術(shù)研究中心;
【基金】：國家自然科學(xué)基金項(xiàng)目(61563024,51169007,61663017) 云南省科技計(jì)劃項(xiàng)目(2015ZC005)
【分類號(hào)】：TH133.33
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本文編號(hào)：1767601