Early FDI Based on Residuals Design According to the Analysis of Models of Faults : Application to DAMADICS
Joint Authors
Lefebvre, Dimitri
Kourd, Yahia
Guersi, Noureddine
Source
Advances in Artificial Neural Systems
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-25
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The increased complexity of plants and the development of sophisticated control systems have encouraged the parallel development of efficient rapid fault detection and isolation (FDI) systems.
FDI in industrial system has lately become of great significance.
This paper proposes a new technique for short time fault detection and diagnosis in nonlinear dynamic systems with multi inputs and multi outputs.
The main contribution of this paper is to develop a FDI schema according to reference models of fault-free and faulty behaviors designed with neural networks.
Fault detection is obtained according to residuals that result from the comparison of measured signals with the outputs of the fault free reference model.
Then, Euclidean distance from the outputs of models of faults to the measurements leads to fault isolation.
The advantage of this method is to provide not only early detection but also early diagnosis thanks to the parallel computation of the models of faults and to the proposed decision algorithm.
The effectiveness of this approach is illustrated with simulations on DAMADICS benchmark.
American Psychological Association (APA)
Kourd, Yahia& Lefebvre, Dimitri& Guersi, Noureddine. 2011. Early FDI Based on Residuals Design According to the Analysis of Models of Faults : Application to DAMADICS. Advances in Artificial Neural Systems،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-472775
Modern Language Association (MLA)
Kourd, Yahia…[et al.]. Early FDI Based on Residuals Design According to the Analysis of Models of Faults : Application to DAMADICS. Advances in Artificial Neural Systems No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-472775
American Medical Association (AMA)
Kourd, Yahia& Lefebvre, Dimitri& Guersi, Noureddine. Early FDI Based on Residuals Design According to the Analysis of Models of Faults : Application to DAMADICS. Advances in Artificial Neural Systems. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-472775
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472775