@article{Keliris:2015:10.1080/00207179.2015.1007395,
author = {Keliris, C and Polycarpou, MM and Parisini, T},
doi = {10.1080/00207179.2015.1007395},
journal = {International Journal of Control},
pages = {1472--1489},
title = {Distributed fault diagnosis for process and sensor faults in a class of interconnected input-output nonlinear discrete-time systems},
url = {http://dx.doi.org/10.1080/00207179.2015.1007395},
volume = {88},
year = {2015}
}

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TY  - JOUR
AB  - This paper presents a distributed fault diagnosis scheme able to deal with process and sensor faults in an integrated way for aclass of interconnected input–output nonlinear uncertain discrete-time systems. A robust distributed fault detection schemeis designed, where each interconnected subsystem is monitored by its respective fault detection agent, and according to thedecisions of these agents, further information regarding the type of the fault can be deduced. As it is shown, a process faultoccurring in one subsystem can only be detected by its corresponding detection agent whereas a sensor fault in a subsystemcan be detected by either its corresponding detection agent or the detection agent of another subsystem that is affected by thesubsystem where the sensor fault occurred. This discriminating factor is exploited for the derivation of a high-level isolationscheme. Moreover, process and sensor fault detectability conditions characterising quantitatively the class of detectable faultsare derived. Finally, a simulation example is used to illustrate the effectiveness of the proposed distributed fault detectionscheme.
AU  - Keliris,C
AU  - Polycarpou,MM
AU  - Parisini,T
DO  - 10.1080/00207179.2015.1007395
EP  - 1489
PY  - 2015///
SN  - 1366-5820
SP  - 1472
TI  - Distributed fault diagnosis for process and sensor faults in a class of interconnected input-output nonlinear discrete-time systems
T2  - International Journal of Control
UR  - http://dx.doi.org/10.1080/00207179.2015.1007395
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000358163700005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/30890
VL  - 88
ER  - 

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