Research on improved information fusion of accelerometers based on MEMD technology
Authors: 
Yuan Shen, Dongcai LiuAuthors Info & Claims
Article No.: 37, Pages 1 - 4
Abstract
Accelerometer can measure signal of multiple channels simultaneously, but it has in coupling problems in multi-channel signal. In this paper, an improved method based on the multivariate empirical mode de-composition (MEMD) combined with holo-spectrum technology is put forward. Firstly, the MEMD method is used to decompose multi-channel signal adaptively into many intrinsic mode functions (IMFs). Then the IMFs at working frequency are selected for holo-spectrum analysis to obtain the two-dimensional holo-spectrum and holo-waterfall-plot. The amplitude and direction of the vibration mode can be reflected visually and the vibration modal characteristics can be better analyzed from these holograms. Finally vibration experiment is carried out on the forklift steering wheel. Results prove that this method proposed by us is correct and effective.
References
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Huang, N.E., Z. Shen, S.R. Long. A new view of nonlinear water waves: The Hilbert spectrum, Annual Review of Fluid Mechanics, vol.31, pp.417--457, 1999.
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Huang, N.E., Z. Shen, S.R. Long, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,
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- Research on improved information fusion of accelerometers based on MEMD technology
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Published In
December 2016
358 pages
ISBN:9781450347990
DOI:10.1145/3028842
Copyright © 2016 ACM.
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Sponsors
- Jilin Institute of Chemical Technology: Jilin Institute of Chemical Technology, Jilin, China
- Wanfang Data: Wanfang Data, Beijing, China
- CNKI: CNKI, Beijing, China
- Airiti: Airiti, Taiwan
- Guilin: Guilin University of Technology, Guilin, China
- Wuhan University of Technology: Wuhan University of Technology, Wuhan, China
- Ain Shams University: Ain Shams University, Egypt
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 December 2016
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- Research-article
Funding Sources
- Key University Science Research Project of Anhui Province
- The Excellent Young Talents Support Project in Universities of Anhui Province
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ICIIP 2016
Sponsor:
- Jilin Institute of Chemical Technology
- Wanfang Data
- CNKI
- Airiti
- Guilin
- Wuhan University of Technology
- Ain Shams University
- International Engineering and Technology Institute, Hong Kong
ICIIP 2016: 2016 International Conference on Intelligent Information Processing
December 23 - 25, 2016
Wuhan, China
Acceptance Rates
ICIIP '16 Paper Acceptance Rate 55 of 165 submissions, 33%;
Overall Acceptance Rate 87 of 367 submissions, 24%
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