Principle of Duality on Prognostics
| dc.contributor.author | Samie, Mohammad | |
| dc.contributor.author | Motlagh, Amir M. S. | |
| dc.contributor.author | Alghassi, Alireza | |
| dc.contributor.author | Perinpanayagam, Suresh | |
| dc.contributor.author | Kapetanios, Epaminondas | |
| dc.date.accessioned | 2016-04-07T13:08:57Z | |
| dc.date.available | 2016-04-07T13:08:57Z | |
| dc.date.issued | 2015-06-30 | |
| dc.description.abstract | he accurate estimation of the remaining useful life (RUL) of various components and devices used in complex systems, e.g., airplanes remain to be addressed by scientists and engineers. Currently, there area wide range of innovative proposals put forward that intend on solving this problem. Integrated System Health Management (ISHM) has thus far seen some growth in this sector, as a result of the extensive progress shown in demonstrating feasible and viable techniques. The problems related to these techniques were that they often consumed time and were too expensive and resourceful to develop. In this paper we present a radically novel approach for building prognostic models that compensates and improves on the current prognostic models inconsistencies and problems. Broadly speaking, the new approach proposes a state of the art technique that utilizes the physics of a system rather than the physics of a component to develop its prognostic model. A positive aspect of this approach is that 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 system. This paper will mainly explore single switch dc-to-dc converters which will 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 remaining useful life of one system based on the prognostics of its dual system. | en_UK |
| dc.identifier.citation | M. Samie, AMS Motlagh, A Alghassi, S Perinpanayagam, E Kapetanios, Principle of Duality on Prognostics, International Journal of Advanced Computer Science and Applications, Volume 5, Issue 6. 2014. | en_UK |
| dc.identifier.cris | 3867172 | |
| dc.identifier.issn | 2158-107X | |
| dc.identifier.uri | http://dx.doi.org/10.14569/IJACSA.2014.050609 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/9814 | |
| dc.language.iso | en | en_UK |
| dc.publisher | SAI Organization | en_UK |
| dc.rights | Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited. Attribution 4.0 International (CC BY 4.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. | |
| dc.subject | Prognostic Model | en_UK |
| dc.subject | Integrated System Health Management (ISHM); | en_UK |
| dc.subject | Degradation | en_UK |
| dc.subject | Duality | en_UK |
| dc.subject | Cuk Converter | en_UK |
| dc.title | Principle of Duality on Prognostics | en_UK |
| dc.type | Article | en_UK |