Fault Diagnosis in Condition of Sample Type Incompleteness Using Support Vector Data Description
Joint Authors
Yi, Hui
Mao, Zehui
Luo, Hui
Liu, Yufang
Bo, Cuimei
Jiang, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Faulty samples are much harder to acquire than normal samples, especially in complicated systems.
This leads to incompleteness for training sample types and furthermore a decrease of diagnostic accuracy.
In this paper, the relationship between sample-type incompleteness and the classifier-based diagnostic accuracy is discussed first.
Then, a support vector data description-based approach, which has taken the effects of sample-type incompleteness into consideration, is proposed to refine the construction of fault regions and increase the diagnostic accuracy for the condition of incomplete sample types.
The effectiveness of the proposed method was validated on both a Gaussian distributed dataset and a practical dataset.
Satisfactory results have been obtained.
American Psychological Association (APA)
Yi, Hui& Mao, Zehui& Jiang, Bin& Bo, Cuimei& Liu, Yufang& Luo, Hui. 2015. Fault Diagnosis in Condition of Sample Type Incompleteness Using Support Vector Data Description. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073829
Modern Language Association (MLA)
Yi, Hui…[et al.]. Fault Diagnosis in Condition of Sample Type Incompleteness Using Support Vector Data Description. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073829
American Medical Association (AMA)
Yi, Hui& Mao, Zehui& Jiang, Bin& Bo, Cuimei& Liu, Yufang& Luo, Hui. Fault Diagnosis in Condition of Sample Type Incompleteness Using Support Vector Data Description. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073829
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073829