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Journal of Failure Analysis and Prevention
Erschienen in: Journal of Failure Analysis and Prevention 1/2015

01.02.2015 | Technical Article---Peer-Reviewed

Fault Feature Extraction of Hydraulic Pump Based on CNC De-noising and HHT

verfasst von: Yukui Wang, Hongru Li, Peng Ye

Erschienen in: Journal of Failure Analysis and Prevention | Ausgabe 1/2015

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Abstract

The noise in the vibration signal of hydraulic pump seriously affects the extraction of its fault feature. In order to solve this problem, the discrete cosine transform (DCT) de-noising method is studied and the cosine neighboring coefficients (CNC) de-noising method is put forward aiming at the existing problems of DCT de-noising method. Then a novel method for the fault feature extraction of hydraulic pump is proposed based on the combination of CNC de-noising method and Hilbert–Huang transform (HHT). The vibration signal of pump is de-noised with CNC de-noising method and the fault feature is extracted by performing HHT to the output signal. The analysis results of the simulation signal and the actual one demonstrate that the amount of noise exist in signal affects the complexity and the result of HHT operation, and also testify that the proposed CNC de-noising method and the fault feature extraction method have more superior ability than the traditional ones.
Vorheriger Artikel Development of an Efficient Prognostic Estimator
Nächster Artikel A Dynamic Model Proposal for the Analysis of Work Procedures

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Metadaten
Titel
Fault Feature Extraction of Hydraulic Pump Based on CNC De-noising and HHT
verfasst von
Yukui Wang
Hongru Li
Peng Ye
Publikationsdatum
01.02.2015
Verlag
Springer US
Erschienen in
Journal of Failure Analysis and Prevention / Ausgabe 1/2015
Print ISSN: 1547-7029
Elektronische ISSN: 1864-1245
DOI
https://doi.org/10.1007/s11668-014-9903-6

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