Failure identification for linear repetitive processes

Maleki, Sepehr, Rapisarda, Paolo and Rogers, Eric (2015) Failure identification for linear repetitive processes. Multidimensional Systems and Signal Processing . ISSN 0923-6082

Full content URL: https://doi.org/10.1007/s11045-015-0345-4

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive

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' behaviour in the presence of noise is considered, leading to the development of a statistical approach for determining a decision threshold. Finally, an FDI procedure is developed based on an asymptotic observer reconstruction of the state vector.

Keywords:FDI, Mathematical Modelling, geometric approach
Subjects:G Mathematical and Computer Sciences > G100 Mathematics
G Mathematical and Computer Sciences > G150 Mathematical Modelling
G Mathematical and Computer Sciences > G120 Applied Mathematics
G Mathematical and Computer Sciences > G160 Engineering/Industrial Mathematics
Divisions:College of Social Science
ID Code:44701
Deposited On:28 Apr 2021 15:54

Repository Staff Only: item control page