NDLI: Extraction of transmission bearing fault characters based on EMD and fractal theory

Content Provider	IEEE Xplore Digital Library
Author	Jianmin Mei Yuanhong Liu Yunkui Xiao Huimin Zhao Ruili Zeng Long Qiao Xianglong Chen
Copyright Year	2011
Description	Author affiliation: Department of Guns Engineering, Ordnance Engineering College, Shijiazhuang 050003, P.R. China (Jianmin Mei) \|\| Department of Automotive Engineering, Academy of Military Transportation, Tianjin, 300161 P.R. China (Yuanhong Liu; Yunkui Xiao; Huimin Zhao; Ruili Zeng; Long Qiao; Xianglong Chen)
Abstract	The vibration signal of transmission bearing is decomposed by empirical mode decomposition, and fractal dimensions of decomposed intrinsic mode functions are calculated to extract fault characters of transmission bearings of different conditions. The results show that empirical mode decomposition method is able to separate signals of different frequency bands effectively, and the fractal dimension of specific IMF component is able to reflect the technology state of transmission bearing sensitively, which can be selected as the characteristic parameters to diagnose transmission bearing fault. The combination of empirical mode decomposition and fractal dimension is an effective method of transmission bearing's fault character extraction.
Starting Page	215
Ending Page	219
File Size	2111876
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014426
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gears Surface waves empirical mode decomposition Fractal dimension transmission bearing fault character extraction
Content Type	Text
Resource Type	Article

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