Fault Detection for Non-Gaussian Stochastic Systems with Time-Varying Delay
Joint Authors
Zheng, Bo-Chao
Zhang, Kai
Li, Tao
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Fault detection (FD) for non-Gaussian stochastic systems with time-varying delay is studied.
The available information for the addressed problem is the input and the measured output probability density functions (PDFs) of the system.
In this framework, firstly, by constructing an augmented Lyapunov functional, which involves some slack variables and a tuning parameter, a delay-dependent condition for the existence of FD observer is derived in terms of linear matrix inequality (LMI) and the fault can be detected through a threshold.
Secondly, in order to improve the detection sensitivity performance, the optimal algorithm is applied to minimize thethreshold value.
Finally, paper-making process example is given to demonstrate the applicability of the proposed approach.
American Psychological Association (APA)
Li, Tao& Zhang, Kai& Zheng, Bo-Chao. 2013. Fault Detection for Non-Gaussian Stochastic Systems with Time-Varying Delay. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032490
Modern Language Association (MLA)
Li, Tao…[et al.]. Fault Detection for Non-Gaussian Stochastic Systems with Time-Varying Delay. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1032490
American Medical Association (AMA)
Li, Tao& Zhang, Kai& Zheng, Bo-Chao. Fault Detection for Non-Gaussian Stochastic Systems with Time-Varying Delay. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1032490
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032490