The Spectrum Segmentation Algorithm of Multimode Vibration Signal Based on Spectral Clustering

Abstract:

The mode peaks in frequency domain of vibration signal are strongly interfered by strong noise, causing the inaccuracy mode parameters. According to this situation, this paper comes up with the thought of mode-peak segmentation based on the spectral clustering algorithm. First, according to the concept of wave packet, the amplitude-frequency of vibration signal is divided into wave packets. Taking each wave packet as a sample of clustering algorithm, the spectral clustering algorithm is used to classify these wave packets. The amplitude-frequency curve of a mode peak becomes a big wave packet in macroscopic. The experiment to simulation signals indicates that this spectral clustering algorithm could accord with the macroscopic observation of mode segmentation effectively, and has outstanding performance especially in strong noise.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 2372-2376
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.2372
• Online since: October 2011
• Authors: Dan Dan Wang, Yu Zhou, Qing Wei Ye, Xiao Dong Wang
• Keywords: Laplacian Matrix, Mode Segmentation, Partition of Wave Packets, Spectral Clustering

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