NDLI: Fault diagnosis based on wavelet package for hydraulic pump

Content Provider	IEEE Xplore Digital Library
Author	Wenkui Hou Chuan Lu Hongmei Liu Chen Lu
Copyright Year	2009
Description	Author affiliation: Department of System Engineering Beihang University Beijing, 100191, China (Wenkui Hou; Chuan Lu; Hongmei Liu; Chen Lu)
Abstract	De-noising and extraction of the weak signature are crucial to fault diagnostics in which case features are often very weak and masked by noise. The wavelet transform has been widely used in signal de-noising due to its extraordinary time-frequency representation capability. In this paper, wavelet decomposition-based de-noising method is employed for fault feature extraction of hydraulic pump. The experiment result reveals that the wavelet decomposition de-noising method can achieve satisfactory results on weak signal detection of hydraulic pump.
Starting Page	831
Ending Page	835
File Size	1121014
Page Count	5
File Format	PDF
ISBN	9781424449033
DOI	10.1109/ICRMS.2009.5269950
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms fault diagnosis hydraulic pump slipper and sloping cam plate wear Wavelet analysis Discrete wavelet transforms Fault diagnosis Continuous wavelet transforms port plate partial wear Packaging Signal processing Feature extraction Wavelet packets Signal analysis
Content Type	Text
Resource Type	Article

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Fault diagnosis based on wavelet package for hydraulic pump