CAJ | 학술논문

采用小波包对滚棒轴承声发射信号降噪，对降噪后的信号进行经验模式分解，选取特定本征模分量，采用滑动峰态算法提取其中的冲击分量，即提取滚棒轴承声发射信号的故障特征分量。改进的EMD方法剔除了某些虚假本征模分量，更准确地表征原始信号。通过仿真信号验证，成功提取了混合信号中的冲击分量，证明了该方法对冲击信号提取的有效性。对外圈故障的滚棒轴承声发射信号进行分析，滚棒轴承的故障特征频率及其倍频明显，对轴承故障的诊断具有重要的意义并可推广到航空发动机主轴轴承的故障诊断。
채용소파포대곤봉축승성발사신호강조，대강조후적신호진행경험모식분해，선취특정본정모분량，채용활동봉태산법제취기중적충격분량，즉제취곤봉축승성발사신호적고장특정분량。개진적EMD방법척제료모사허가본정모분량，경준학지표정원시신호。통과방진신호험증，성공제취료혼합신호중적충격분량，증명료해방법대충격신호제취적유효성。대외권고장적곤봉축승성발사신호진행분석，곤봉축승적고장특정빈솔급기배빈명현，대축승고장적진단구유중요적의의병가추엄도항공발동궤주축축승적고장진단。
Using wavelet packetto denoiseacoustic emission signals,and the empirical mode decomposition ( EMD)method to decompose the denoising signal,to select the specific intrinsic modefunctions( IMFs),to extract the impact of components based on sliding Kurtosis algorithms,that is extracting the fault characteris-tics of the acoustic signals by rolling bearings. The improved EMD method removes the certain false specific intrinsic modefunctions,and presents more accurate characteristics of the original signals. Through simula-tion,the impact of mixed-signal componentsis successfully extracted. And the method of exacting impact sig-nal sisproved to be effective. Through the analysis of the acoustic signals of the outer ring of rolling bear-ings,the fault characteristic frequencyand frequency multiplication of rolling bearing sareobviously dis-played. The method can beextended to theaero-engine main bearings fault diagnosis.