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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 the blind source separation,in this paper,we propose a novel source number estimation based on independent component analysis(ICA)and clustering evaluation analysis,and then carry out experiment studies with typical mechanical vibration signals from a shell structure.The results demonstrate that the proposed ICA based source number estimation performs stably and robustly for the shell structure.
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 the blind source separation, in this paper, we propose a novel source number estimation based on independent component analysis (ICA) and clustering evaluation analysis, and then carry out experiment studies with typical mechanical vibration signals from a shell structure. The results demonstrate that the proposed ICA based source number estimation performs stably and robustly for the shell structure.