Monitoring of Nonlinear Time-Delay Processes Based on Adaptive Method and Moving Window
Joint Authors
Fan, Yunpeng
Zhang, Yingwei
Zhang, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A new adaptive kernel principal component analysis (KPCA) algorithm for monitoring nonlinear time-delay process is proposed.
The main contribution of the proposed algorithm is to combine adaptive KPCA with moving window principal component analysis (MWPCA) algorithm, and exponentially weighted principal component analysis (EWPCA) algorithm respectively.
The new algorithm prejudges the new available sample with MKPCA method to decide whether the model is updated.
Then update the KPCA model using EWKPCA method.
And also extend MPCA and EWPCA from linear data space to nonlinear data space effectively.
Monitoring experiment is performed using the proposed algorithm.
The simulation results show that the proposed method is effective.
American Psychological Association (APA)
Fan, Yunpeng& Zhang, Wei& Zhang, Yingwei. 2014. Monitoring of Nonlinear Time-Delay Processes Based on Adaptive Method and Moving Window. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-480342
Modern Language Association (MLA)
Fan, Yunpeng…[et al.]. Monitoring of Nonlinear Time-Delay Processes Based on Adaptive Method and Moving Window. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-480342
American Medical Association (AMA)
Fan, Yunpeng& Zhang, Wei& Zhang, Yingwei. Monitoring of Nonlinear Time-Delay Processes Based on Adaptive Method and Moving Window. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-480342
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-480342