CAJ | 학술논문

针对经验模态分解（Empirical Mode Decomposition，EMD）的均值曲线采用三次样条拟合而容易引起包络过冲和不足等缺陷，相关学者提出了许多改进均值曲线的变种E MD方法，取得了一定的效果。广义经验模态分解（Ge n-eralized EMD，GEMD）方法综合了多种改进EMD方法，通过定义不同的均值曲线对信号进行逐阶筛分，从得到的每一阶分量中选取最优作为最终的广义内禀模态函数（Generalized Intrinsic Mode Function，GIMF），由于每一阶的GIMF分量都是最优的，因此相较于EMD等单一均值曲线筛分方法，GEMD分解结果也是最优的。论文对GIMF分量准则进行了改进以及对GE MD性能进行了分析，并将GE MD应用于仿真和实测信号的分析，结论表明GE MD分解是完备的和正交的，有比EMD更强的分解能力，而且适合机械振动信号的处理和故障诊断。
침대경험모태분해（Empirical Mode Decomposition，EMD）적균치곡선채용삼차양조의합이용역인기포락과충화불족등결함，상관학자제출료허다개진균치곡선적변충E MD방법，취득료일정적효과。엄의경험모태분해（Ge n-eralized EMD，GEMD）방법종합료다충개진EMD방법，통과정의불동적균치곡선대신호진행축계사분，종득도적매일계분량중선취최우작위최종적엄의내품모태함수（Generalized Intrinsic Mode Function，GIMF），유우매일계적GIMF분량도시최우적，인차상교우EMD등단일균치곡선사분방법，GEMD분해결과야시최우적。논문대GIMF분량준칙진행료개진이급대GE MD성능진행료분석，병장GE MD응용우방진화실측신호적분석，결론표명GE MD분해시완비적화정교적，유비EMD경강적분해능력，이차괄합궤계진동신호적처리화고장진단。
Aiming at that the mean curve defined in empirical mode decomposition (EMD)fitted with cubic spline may cause envelope overshoot and undershoot,many improved EMDs for improving the mean curve are proposed and some good effects are achieved.Generalized empirical mode decomposition (GEMD)integrates several improved EMD methods and selects the best component from components obtained by sifting different mean curves in each rank as the final generalized IMF (GIMF).Since the GIMF is the best in each rank,the corresponding results of GEMD are also the best. Here,GEMD was introduced firstly and then an improved criterion of GIMF was developed.Furthermore,GEMD was employed to analyze simulated and actual mechanical vibration signals.The results showed that GEMD is complete and orthogonal,it has a better capacity of decomposition than that of EMD,it is suitable for mechanical fault diagnosis as well.