独立分量分析方法在经验模式分解中的应用

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振动与冲击 ›› 2009, Vol. 28 ›› Issue (1) : 109-111,.

论文

独立分量分析方法在经验模式分解中的应用

陈建国张志新郭正刚王奉涛李宏坤

作者信息 +

Application of Independent Component Analysis in Empirical Mode Decomposition

Chen JianGuo

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文章历史 +

摘要

若信号间的能量和频率比例过大，经验模式分解不能分解出正确的单一模式分量。针对这种状况提出一种经验模式分解与独立分量相结合的信号分析方法。该方法能分离出IMF分量的固有特性，消除EMD分解过后各IMF之间信息混淆问题，恢复各个单分量所丢失的信息特性，改善了经验模式分解能力不足所带来局限性，保障经验模式分解的有效性。通过仿真信号和实际工程信号研究，验证了该方法的可行性。表明该方法对信号分解和故障诊断具有很好的前景。

Abstract

If the ratio of signal’s energy and frequency is much larger than some value, this paper presents the new integrated method of Empirical Mode Decomposition and Independent Component Analysis. It can seprate the Overlapped information, decompose accurately the Intrinsic Mode Functions. recover the character of the Intrinsic Mode Function, and perfect the deficiency of Empirical Mode Decomposition’s capability. This method can ensure the validity of Empirical Mode Decomposition. The feasibility of this method is demonstrated by the application of simulated signals and practical signals. The results show that this method has wide application prospect in the condition signal procession and fault diagnosis of mechanical equipment.

导出引用

陈建国张志新郭正刚王奉涛李宏坤. 独立分量分析方法在经验模式分解中的应用[J]. 振动与冲击, 2009, 28(1): 109-111,

Chen JianGuo. Application of Independent Component Analysis in Empirical Mode Decomposition [J]. Journal of Vibration and Shock, 2009, 28(1): 109-111,

中图分类号： TN912