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Fault Isolation for Nonlinear Systems Using Flexible Support Vector Regression
Joint Authors
Liu, Yufang
Bo, Cuimei
Yi, Hui
Jiang, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
While support vector regression is widely used as both a function approximating tool and a residual generator for nonlinear system fault isolation, a drawback for this method is the freedom in selecting model parameters.
Moreover, for samples with discordant distributing complexities, the selection of reasonable parameters is even impossible.
To alleviate this problem we introduce the method of flexible support vector regression (F-SVR), which is especially suited for modelling complicated sample distributions, as it is free from parameters selection.
Reasonable parameters for F-SVR are automatically generated given a sample distribution.
Lastly, we apply this method in the analysis of the fault isolation of high frequency power supplies, where satisfactory results have been obtained.
American Psychological Association (APA)
Liu, Yufang& Jiang, Bin& Yi, Hui& Bo, Cuimei. 2014. Fault Isolation for Nonlinear Systems Using Flexible Support Vector Regression. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-492592
Modern Language Association (MLA)
Liu, Yufang…[et al.]. Fault Isolation for Nonlinear Systems Using Flexible Support Vector Regression. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-492592
American Medical Association (AMA)
Liu, Yufang& Jiang, Bin& Yi, Hui& Bo, Cuimei. Fault Isolation for Nonlinear Systems Using Flexible Support Vector Regression. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-492592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492592