Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding
Joint Authors
Tian, Fuqing
She, Bo
Liang, Weige
Zhang, Gang
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-11
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The dimension reduction methods have been proved powerful and practical to extract latent features in the signal for process monitoring.
A linear dimension reduction method called nonlocal orthogonal preserving embedding (NLOPE) and its nonlinear form named nonlocal kernel orthogonal preserving embedding (NLKOPE) are proposed and applied for condition monitoring and fault detection.
Different from kernel orthogonal neighborhood preserving embedding (KONPE) and kernel principal component analysis (KPCA), the NLOPE and NLKOPE models aim at preserving global and local data structures simultaneously by constructing a dual-objective optimization function.
In order to adjust the trade-off between global and local data structures, a weighted parameter is introduced to balance the objective function.
Compared with KONPE and KPCA, NLKOPE combines both the advantages of KONPE and KPCA, and NLKOPE is also more powerful in extracting potential useful features in nonlinear data set than NLOPE.
For the purpose of condition monitoring and fault detection, monitoring statistics are constructed in feature space.
Finally, three case studies on the gearbox and bearing test rig are carried out to demonstrate the effectiveness of the proposed nonlinear fault detection method.
American Psychological Association (APA)
She, Bo& Tian, Fuqing& Liang, Weige& Zhang, Gang. 2018. Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding. Shock and Vibration،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1215336
Modern Language Association (MLA)
She, Bo…[et al.]. Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding. Shock and Vibration No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1215336
American Medical Association (AMA)
She, Bo& Tian, Fuqing& Liang, Weige& Zhang, Gang. Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1215336
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215336