![](/images/graphics-bg.png)
A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine
Joint Authors
Tang, Baoping
Lv, Zhongliang
Zhou, Yi
Zhou, Chuande
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-06
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A novel fault diagnosis method based on variational mode decomposition (VMD) and multikernel support vector machine (MKSVM) optimized by Immune Genetic Algorithm (IGA) is proposed to accurately and adaptively diagnose mechanical faults.
First, mechanical fault vibration signals are decomposed into multiple Intrinsic Mode Functions (IMFs) by VMD.
Then the features in time-frequency domain are extracted from IMFs to construct the feature sets of mixed domain.
Next, Semisupervised Locally Linear Embedding (SS-LLE) is adopted for fusion and dimension reduction.
The feature sets with reduced dimension are inputted to the IGA optimized MKSVM for failure mode identification.
Theoretical analysis demonstrates that MKSVM can approximate any multivariable function.
The global optimal parameter vector of MKSVM can be rapidly identified by IGA parameter optimization.
The experiments of mechanical faults show that, compared to traditional fault diagnosis models, the proposed method significantly increases the diagnosis accuracy of mechanical faults and enhances the generalization of its application.
American Psychological Association (APA)
Lv, Zhongliang& Tang, Baoping& Zhou, Yi& Zhou, Chuande. 2016. A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine. Shock and Vibration،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118974
Modern Language Association (MLA)
Lv, Zhongliang…[et al.]. A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine. Shock and Vibration No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1118974
American Medical Association (AMA)
Lv, Zhongliang& Tang, Baoping& Zhou, Yi& Zhou, Chuande. A Novel Method for Mechanical Fault Diagnosis Based on Variational Mode Decomposition and Multikernel Support Vector Machine. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118974
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118974