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

• Published in: Applied Mechanics and Materials Vol. 121-126; pp. 2372 - 2376
• Main Authors: Wang, Dan Dan, Zhou, Yu, Ye, Qing Wei, Wang, Xiao Dong
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.01.2012
• Subjects: Spectral Clustering; Mode Segmentation; Partition of Wave Packets; Laplacian Matrix
• ISBN: 3037852828; 9783037852828
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.121-126.2372

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.