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Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-12
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
To diagnose mechanical faults of rotor-bearing-casing system by analyzing its casing vibration signal, this paper proposes a training procedure of a fault classifier based on variational mode decomposition (VMD), local linear embedding (LLE), and support vector machine (SVM).
VMD is used first to decompose the casing signal into several modes, which are subsignals usually modulated by fault frequencies.
Vibrational features are extracted from both VMD subsignals and the original one.
LLE is employed here to reduce the dimensionality of these extracted features and make the samples more separable.
Then low-dimensional data sets are used to train the multiclass SVM whose accuracy is tested by classifying the test samples.
When the parameters of LLE and SVM are well optimized, this proposed method performs well on experimental data, showing its capacity of diagnosing casing vibration faults.
American Psychological Association (APA)
Yang, Yizhou& Jiang, D. X.. 2017. Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine. Shock and Vibration،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1204746
Modern Language Association (MLA)
Yang, Yizhou& Jiang, D. X.. Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine. Shock and Vibration No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1204746
American Medical Association (AMA)
Yang, Yizhou& Jiang, D. X.. Casing Vibration Fault Diagnosis Based on Variational Mode Decomposition, Local Linear Embedding, and Support Vector Machine. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1204746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204746