噪声与振动控制
譟聲與振動控製
조성여진동공제
NOISE AND VIBRATION CONTROL
2015年
3期
159-162
,共4页
振动与波%形态滤波%滚动轴承%EMD%IMF%AR谱
振動與波%形態濾波%滾動軸承%EMD%IMF%AR譜
진동여파%형태려파%곤동축승%EMD%IMF%AR보
vibration and wave%morphological filtering%rolling bearing%EMD%IMF%AR spectrum
将AR谱估计与EMD方法结合，应用组合形态滤波对故障信号进行降噪预处理，对预处理后的信号进行EMD分解，之后对各阶IMF做AR谱估计并集总平均，从而提取振动信号的故障特征频率。文中所述算法能够避免HHT方法中Hilbert变换所产生的难以解释的负频率，较准确地提取出滚动轴承振动信号的故障特征频率，从而为滚动轴承振动信号的检测与故障诊断研究提供参考意见。
將AR譜估計與EMD方法結閤，應用組閤形態濾波對故障信號進行降譟預處理，對預處理後的信號進行EMD分解，之後對各階IMF做AR譜估計併集總平均，從而提取振動信號的故障特徵頻率。文中所述算法能夠避免HHT方法中Hilbert變換所產生的難以解釋的負頻率，較準確地提取齣滾動軸承振動信號的故障特徵頻率，從而為滾動軸承振動信號的檢測與故障診斷研究提供參攷意見。
장AR보고계여EMD방법결합，응용조합형태려파대고장신호진행강조예처리，대예처리후적신호진행EMD분해，지후대각계IMF주AR보고계병집총평균，종이제취진동신호적고장특정빈솔。문중소술산법능구피면HHT방법중Hilbert변환소산생적난이해석적부빈솔，교준학지제취출곤동축승진동신호적고장특정빈솔，종이위곤동축승진동신호적검측여고장진단연구제공삼고의견。
Combining the AR spectrum estimation method with EMD, the morphological filtering was applied to denoising pre-process of the fault signal. Then, the signal was decomposed by using EMD. The AR spectrum of each order IMF was estimated. The average value of the AR spectrums was calculated. Finally, the fault characteristic frequency of the vibration signal was extracted. In this method, the negative frequency generated by Hilbert transform in HHT can be avoided, and the fault characteristic frequency of rolling bearings can be extracted. This work may provide a reference for vibration detection and fault diagnosis of rolling bearings.
