Diagnosing faults and illnesses with a quasi-time-invariant filter transfer function model

Roberto Carniel

Chaos, Solitons & Fractals, 2008, vol. 35, issue 1, 199-201

Abstract: The problem of diagnosing a fault or a perturbation in a dynamical system (be it industrial or natural) can be restated as the characterization of the transfer function of a filter that acts on a “sane” or “unperturbed” system to transform it into a “faulted” or “perturbed” one. This filter would then be approximated as time-invariant (and linear) only for short time windows, while the time evolution of such transfer function on longer time scales leads to a simple but powerful general framework that allows to diagnose the onset and/or the time evolution of a fault or perturbation of the system.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:35:y:2008:i:1:p:199-201

DOI: 10.1016/j.chaos.2006.06.094

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