现代制造工程
現代製造工程
현대제조공정
MODERN MANUFACTURING ENGINEERING
2014年
8期
127-130
,共4页
奇异值分解%独立分量分析%欠定%盲分离%复合故障
奇異值分解%獨立分量分析%欠定%盲分離%複閤故障
기이치분해%독립분량분석%흠정%맹분리%복합고장
Singular Value Decomposition (SVD)%Independent Component Analysis (ICA)%under-determined mixtures%blind source separation%compound fault
针对滚动轴承复合故障信号中故障特征难以分离的问题，提出了基于多分辨奇异值分解（ SVD ）和独立分量分析（ ICA）的复合故障诊断方法。首先利用多分辨SVD将复合故障振动信号分解为几个分量实现维数的增加；然后将分解得到的分量组合为混合信号，并利用ICA进行欠定盲分离；最后对分离后的独立分量进行Hilbert包络解调，由此实现对复合故障特征信息的分离和故障识别。通过对滚动轴承内外圈复合故障的试验信号分析表明，该方法可以有效地分离和提取轴承复合故障的特征信息。
針對滾動軸承複閤故障信號中故障特徵難以分離的問題，提齣瞭基于多分辨奇異值分解（ SVD ）和獨立分量分析（ ICA）的複閤故障診斷方法。首先利用多分辨SVD將複閤故障振動信號分解為幾箇分量實現維數的增加；然後將分解得到的分量組閤為混閤信號，併利用ICA進行欠定盲分離；最後對分離後的獨立分量進行Hilbert包絡解調，由此實現對複閤故障特徵信息的分離和故障識彆。通過對滾動軸承內外圈複閤故障的試驗信號分析錶明，該方法可以有效地分離和提取軸承複閤故障的特徵信息。
침대곤동축승복합고장신호중고장특정난이분리적문제，제출료기우다분변기이치분해（ SVD ）화독립분량분석（ ICA）적복합고장진단방법。수선이용다분변SVD장복합고장진동신호분해위궤개분량실현유수적증가；연후장분해득도적분량조합위혼합신호，병이용ICA진행흠정맹분리；최후대분리후적독립분량진행Hilbert포락해조，유차실현대복합고장특정신식적분리화고장식별。통과대곤동축승내외권복합고장적시험신호분석표명，해방법가이유효지분리화제취축승복합고장적특정신식。
Aiming at the separating fault information from compound rolling bearing fault signal ,a new compound fault diagnosis method is proposed based on multi-resolution Singular Value Decomposition ( SVD ) and Independent Component Analysis (ICA).Firstly,the signal of compound fault was decomposed into several components through multi -resolution SVD,and the di-mension was increased .Then the mixed signal of components combination was realized blind source separation of under -deter-mined mixtures by ICA .Finally,Hilbert envelope spectrum were got from independent signal components separated ,thus the infor-mation of fault feature can be separated and identified .The results of the experiments show that the fault feature of rolling bearing can be separated effectively and the fault feature information were extracted .
