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Failure identification for linear repetitive processes

Failure identification for linear repetitive processes
Failure identification for linear repetitive processes
This paper investigates the fault detection and isolation (FDI) problem for discrete-time linear repetitive processes using a geometric approach, starting from a 2-D model for these processes that incorporates a representation of the failure. Based on this model, the FDI problem is formulated in the geometric setting and sufficient conditions for solvability of this problem are given. Moreover, the processes’s behaviour in the presence of noise is considered, leading to the development of a statistical approach for determining a decision threshold. Finally, a FDI procedure is developed based on an asymptotic observer reconstruction of the state vector.
Fault detection and isolation, FDI, Geometric approach, Linear repetitive processes, Multidimensional systems
0923-6082
1037-1059
Maleki, Sepehr
5ddca73c-dbd7-40e3-88d7-3d34b9b6e022
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Maleki, Sepehr
5ddca73c-dbd7-40e3-88d7-3d34b9b6e022
Rapisarda, Paolo
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72

Maleki, Sepehr, Rapisarda, Paolo and Rogers, Eric (2015) Failure identification for linear repetitive processes. Multidimensional Systems and Signal Processing, 26 (4), 1037-1059. (doi:10.1007/s11045-015-0345-4).

Record type: Article

Abstract

This paper investigates the fault detection and isolation (FDI) problem for discrete-time linear repetitive processes using a geometric approach, starting from a 2-D model for these processes that incorporates a representation of the failure. Based on this model, the FDI problem is formulated in the geometric setting and sufficient conditions for solvability of this problem are given. Moreover, the processes’s behaviour in the presence of noise is considered, leading to the development of a statistical approach for determining a decision threshold. Finally, a FDI procedure is developed based on an asymptotic observer reconstruction of the state vector.

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More information

e-pub ahead of print date: 22 July 2015
Published date: October 2015
Keywords: Fault detection and isolation, FDI, Geometric approach, Linear repetitive processes, Multidimensional systems

Identifiers

Local EPrints ID: 416051
URI: https://eprints.soton.ac.uk/id/eprint/416051
ISSN: 0923-6082
PURE UUID: 14890beb-a963-48a7-8554-5cbdcec0ab53

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Date deposited: 01 Dec 2017 17:30
Last modified: 13 Mar 2019 19:09

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