Research on Improved Information fusion of accelerometers based on MEMD technology

被引：1
|
作者：
Shen, Yuan [1 ]
Liu, Dongcai [1 ]
机构：
[1] Hefei Normal Univ, Sch Elect & Informat Engn, Hefei 230601, Anhui, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING (ICIIP'16) | 2016年
关键词：
Accelerometer; Information fusion; MEMD; Holo-spectrum; EMPIRICAL MODE DECOMPOSITION;
D O I：
10.1145/3028842.3028879
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：4
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