DocumentCode
3314551
Title
Study on vibration mode of remanufactured engine based on EEMD
Author
Chengfa Chen ; Changku Sun ; Xiangbi An ; Shumin Li ; Zhe Zhang
Author_Institution
State Key Lab. of Precision Meas. Technol. & Instrum., Tianjin Univ., Tianjin, China
fYear
2013
fDate
4-7 Aug. 2013
Firstpage
1384
Lastpage
1388
Abstract
In order to extract the vibration feature of remanufactured engines, the vibration signal is decomposed by ensemble empirical mode decomposition(EEMD), and this method is applied to study vibration mode of remanufactured engines. Based on the decomposition of vibration signal, correlation coefficient is introduced to study the correlation between IMF(Intrinsic Mode Function) components and original signal, and sensitive factors of IMF components are calculated using correlation coefficients. Hilbert transform is made with sensitive IMF components. The study results show that vibration feature of remanufactured engines is include in IMF components decomposed by EEMD, the vibration modes of remanufactured engines can be differentiated by Hilbert-Huang spectrum and marginal spectrum based on sensitive IMF components. According to vibration feature, the vibration state of remanufactured engines is divided into cylinder wall, cylinder cover and crankshaft vibration modes, which are important to improve the remanufacture level of engines.
Keywords
Hilbert transforms; correlation methods; engines; vibrations; EEMD; Hilbert transform; Hilbert-Huang spectrum; IMF components; correlation coefficient; crankshaft vibration modes; cylinder cover; cylinder wall; ensemble empirical mode decomposition; intrinsic mode function; marginal spectrum; remanufactured engine; vibration signal; Correlation coefficient; Empirical mode decomposition; Engines; Feature extraction; Noise; Vibrations; Ensemble empirical mode decomposition; remanufactured engine; vibration mode;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location
Takamatsu
Print_ISBN
978-1-4673-5557-5
Type
conf
DOI
10.1109/ICMA.2013.6618115
Filename
6618115
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