基于独立分量分析的壳体结构振源数目估计方法

在振源数目未知的条件下，仅利用多通道观测混合信号准确分离源信息是信号源盲分离的技术难题之一。为了揭示观测振动混合信号的复杂组成结构，以及为振源信息盲分离提供可靠的先验信息，提出一种基于独立分量分析和聚类评估技术的信源数目估计方法。通过仿真试验与壳体结构试验台典型机械振动信号分析，定量比较基于信息理论的源数估计方法AIC/MDL与提出方法的性能，研究结果表明所提出方法可从振动调制混合信号中准确可靠地估计信源数目，具有更好的工程应用性能。

Vibration Source Number Estimation of Shell Structures Based on Independent Component Analysis

It has been challenging to correctly separate the mixed signals into source components when the source number is not known a priori. To reveal the complexity of the measured vibration signals, and provide the priori information for blind source separation, a novel source number estimation method is proposed based on independent component analysis (ICA) and clustering evaluation analysis. The performances of the proposed method and the information-based source number estimation methods are comparatively studied via numerical case study and experimental study on a thin shell structure, and the results show that the proposed method can correctly and reliably estimate the source number from the modulated vibration signals, and thus has more powerful performances in engineering applications.