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Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier
Joint Authors
Wang, Zili
Zhao, Wanlin
Ma, Jian
Li, Lianfeng
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The fault diagnosis of hydraulic pumps is currently important and significant to ensure the normal operation of the entire hydraulic system.
Considering the nonlinear characteristics of hydraulic-pump vibration signals and the mode mixing problem of the original Empirical Mode Decomposition (EMD) method, first, we use the Complete Ensemble EMD (CEEMD) method to decompose the signals.
Second, the time-frequency analysis methods, which include the Short-Time Fourier Transform (STFT) and time-frequency entropy calculation, are applied to realize the robust feature extraction.
Third, the multiclass Support Vector Machine (SVM) classifier is introduced to automatically classify the fault mode in this paper.
An actual hydraulic-pump experiment demonstrates the procedure with a complete feature extraction and accurate mode classification.
American Psychological Association (APA)
Zhao, Wanlin& Wang, Zili& Ma, Jian& Li, Lianfeng. 2016. Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier. Shock and Vibration،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1118915
Modern Language Association (MLA)
Zhao, Wanlin…[et al.]. Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier. Shock and Vibration No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1118915
American Medical Association (AMA)
Zhao, Wanlin& Wang, Zili& Ma, Jian& Li, Lianfeng. Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1118915
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118915