Distributed fault diagnosis for process and sensor faults in a class of interconnected input-output nonlinear discrete-time systems
File(s)
Author(s)
Keliris, C
Polycarpou, MM
Parisini, T
Type
Journal Article
Abstract
This paper presents a distributed fault diagnosis scheme able to deal with process and sensor faults in an integrated way for a
class of interconnected input–output nonlinear uncertain discrete-time systems. A robust distributed fault detection scheme
is designed, where each interconnected subsystem is monitored by its respective fault detection agent, and according to the
decisions of these agents, further information regarding the type of the fault can be deduced. As it is shown, a process fault
occurring in one subsystem can only be detected by its corresponding detection agent whereas a sensor fault in a subsystem
can be detected by either its corresponding detection agent or the detection agent of another subsystem that is affected by the
subsystem where the sensor fault occurred. This discriminating factor is exploited for the derivation of a high-level isolation
scheme. Moreover, process and sensor fault detectability conditions characterising quantitatively the class of detectable faults
are derived. Finally, a simulation example is used to illustrate the effectiveness of the proposed distributed fault detection
scheme.
class of interconnected input–output nonlinear uncertain discrete-time systems. A robust distributed fault detection scheme
is designed, where each interconnected subsystem is monitored by its respective fault detection agent, and according to the
decisions of these agents, further information regarding the type of the fault can be deduced. As it is shown, a process fault
occurring in one subsystem can only be detected by its corresponding detection agent whereas a sensor fault in a subsystem
can be detected by either its corresponding detection agent or the detection agent of another subsystem that is affected by the
subsystem where the sensor fault occurred. This discriminating factor is exploited for the derivation of a high-level isolation
scheme. Moreover, process and sensor fault detectability conditions characterising quantitatively the class of detectable faults
are derived. Finally, a simulation example is used to illustrate the effectiveness of the proposed distributed fault detection
scheme.
Date Issued
2015-02-16
Date Acceptance
2015-01-10
Citation
International Journal of Control, 2015, 88 (8), pp.1472-1489
ISSN
1366-5820
Publisher
Taylor & Francis
Start Page
1472
End Page
1489
Journal / Book Title
International Journal of Control
Volume
88
Issue
8
Copyright Statement
© 2015 Taylor & Francis. This is an Author's Accepted Manuscript of an article published in [include the complete citation information for the final version of the article as published in the International Journal of Control (2015), available online at: http://www.tandfonline.com
Identifier
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Subjects
Science & Technology
Technology
Automation & Control Systems
Nonlinear systems
Fault diagnosis
Filtering
Fault propagation
Process and sensor faults
Industrial Engineering & Automation
Applied Mathematics
Electrical And Electronic Engineering
Publication Status
Published