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ThinkMind // ICCGI 2014, The Ninth International Multi-Conference on Computing in the Global Information Technology // View article iccgi_2014_2_10_10031


Realising Duality Principle for Prognostic Models

Authors:
Mohammad Samie
Amir Movahdi Saveh Motlagh
Alireza Alghassi
Suresh Perinpanayagam
Epaminondas Kapetanios

Keywords: Prognostic Model, Integradted System Health Management (ISHM), Degradation, Duality, Cuk Converter

Abstract:
The lack of scientific approaches in estimating the remaining useful life (RUL) of various components and devices used in complicated systems, such as airplanes remain to be addressed. Regardless, there has been some progress in demonstrating feasible and viable techniques so far that are relevant to ‘integrated system health management’ (ISHM). ISHM entails a series of techniques and scientific measures that have collaborative self-awareness features to increase the overall reliability of systems. However, these resulting systems were often too expensive and time consuming, as well as requiring a lot of resources to develop. This paper presents a radically novel approach for building prognostic models that compensates and improves on the inconsistencies and problems witnessed in current prognostic models. Essentially, it proposes a state of the art technique that utilizes the physics of a system rather than the physics of a component. An advantage to this approach is; the prognostic model can be generalized such that a new system could be developed on the basis and principles of the prognostic model of another systems. Simple electronic circuits are to be used as an experiment to exemplify the potential success that can be discovered from the development of a novel prognostic model that can efficiently estimate the RUL of one system based on the prognostics of another system.

Pages: 31 to 37

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-346-9

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014

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