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Author Sun, Jian ♦ Li, Hongru ♦ Xu, Baohua
Source SpringerLink
Content type Text
Publisher Springer US
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Degradation feature extraction ♦ MUWDF ♦ MF-DFA ♦ Hydraulic pump ♦ Tribology, Corrosion and Coatings ♦ Characterization and Evaluation of Materials ♦ Mechanics ♦ Structural Mechanics ♦ Quality Control, Reliability, Safety and Risk
Abstract Hydraulic pump degradation feature extraction is a key step of condition-based maintenance. Since vibration signals of hydraulic pumps during degradation are strongly nonlinear and the feature information is too weak to be effectively extracted, a method based upon MUWDF and MF-DFA is proposed. Initially, the MUWDF is presented to reduce disturbances and improve feature information. Approximate signals of various decomposition layers are selected by feature energy factor and fused according to the presented fusion rules. On this basis, the fused signal is further processed by MF-DFA with a sliding window. Multi-fractal spectrum sensitive factors are selected to be the degradation feature vector of the hydraulic pump. The proposed method is verified by vibration signals sampled in a hydraulic pump degradation experiment.
ISSN 15477029
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-06-07
Publisher Place New York
e-ISSN 18641245
Journal Journal of Failure Analysis and Prevention
Volume Number 16
Issue Number 4
Page Count 11
Starting Page 583
Ending Page 593

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Source: SpringerLink