JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (3): 58-64.doi: 10.6040/j.issn.1672-3961.0.2014.335

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Vibration analysis of excavator seat based on EEMD and CWT

LU Dan1,2, ZHOU Yiqi1,2   

  1. 1. School of Mechanical Engineering, Shandong University, Jinan 250061, Shandong, China;
    2. Key Laboratory of High-efficiency and Clean Mechanical Manufacture at Shandong University, Ministry of Education, Jinan 250061, Shandong, China
  • Received:2014-11-24 Revised:2015-03-06 Published:2014-11-24

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Abstract: The measured seat vibration responses of an excavator were firstly processed by ensemble empirical mode decomposition (EEMD). In order to eliminate meaningless and spurious components from the obtained intrinsic mode functions (IMF), a new method combining energy contribution ratio and correlation analysis was proposed. Then the selected “interesting” IMFs with actual physical interpretations were processed by continuous wavelet transform (CWT). Based on time-frequency characteristics of IMFs, the vibration signals corresponding to different excitation sources could be located and identified. The experimental results showed that combustion forces and second-order rotation forces of diesel engine contributed mainly to seat vibration, meanwhile, the tangential and radial forces of diesel engine caused by circulated gas pressure in cylinder also made contributions. The proposed method could be employed effectively in decomposing, selecting and locating the seat vibration source signals, which was greatly helpful to further study of riding comfort.

Key words: seat vibration, ensemble empirical mode decomposition, feature extraction, energy contribution ratio, riding comfort

CLC Number: 

  • TB53
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