Defect Detection and Localization of Nonlinear System Based on Particle Filter with an Adaptive Parametric Model
Joint Authors
Zhou, Deqiang
Wu, Jingjing
Song, Shujuan
An, Wei
Zhang, Hong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A robust particle filter (PF) and its application to fault/defect detection of nonlinear system are investigated in this paper.
First, an adaptive parametric model is exploited as the observation model for a nonlinear system.
Second, by incorporating the parametric model, particle filter is employed to estimate more accurate hidden states for the nonlinear stochastic system.
Third, by formulating the problem of defect detection within the hypothesis testing framework, the statistical properties of the proposed testing are established.
Finally, experimental results demonstrate the effectiveness and robustness of the proposed detector on real defect detection and localization in images.
American Psychological Association (APA)
Wu, Jingjing& Song, Shujuan& An, Wei& Zhou, Deqiang& Zhang, Hong. 2015. Defect Detection and Localization of Nonlinear System Based on Particle Filter with an Adaptive Parametric Model. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074658
Modern Language Association (MLA)
Wu, Jingjing…[et al.]. Defect Detection and Localization of Nonlinear System Based on Particle Filter with an Adaptive Parametric Model. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1074658
American Medical Association (AMA)
Wu, Jingjing& Song, Shujuan& An, Wei& Zhou, Deqiang& Zhang, Hong. Defect Detection and Localization of Nonlinear System Based on Particle Filter with an Adaptive Parametric Model. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074658
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074658