http://www.colloquiam.com/wd/index.php?action=history&feed=atom&title=Fasanotti_2016aFasanotti 2016a - Revision history2026-06-10T10:51:28ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10http://www.colloquiam.com/wd/index.php?title=Fasanotti_2016a&diff=188553&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 962442710 to Fasanotti 2016a2021-01-26T12:38:22Z<p>Scipediacontent moved page <a href="/public/Draft_Content_962442710" class="mw-redirect" title="Draft Content 962442710">Draft Content 962442710</a> to <a href="/public/Fasanotti_2016a" title="Fasanotti 2016a">Fasanotti 2016a</a></p>
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</td></tr></table>Scipediacontenthttp://www.colloquiam.com/wd/index.php?title=Fasanotti_2016a&diff=188552&oldid=prevScipediacontent: Created page with " == Abstract == Logistics for maintenance services for a wide geographically dispersed applications, such as oil transfer systems via pipelines or waste water treatment, have..."2021-01-26T12:38:18Z<p>Created page with " == Abstract == Logistics for maintenance services for a wide geographically dispersed applications, such as oil transfer systems via pipelines or waste water treatment, have..."</p>
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== Abstract ==<br />
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Logistics for maintenance services for a wide geographically dispersed applications, such as oil transfer systems via pipelines or waste water treatment, have high cost and standard approaches usually lead to sub-optimal solutions. In this paper, an innovative architecture able to improve the performance, called Artificial Immune Intelligent Maintenance System (AI2MS) was proposed. This architecture merges the advantages of two different methodology: Artificial Immune System (AIS) and Multi Agent System (MAS) in order to to build up an intelligent maintenance system that can operates either in an autonomous or cooperative way to forecast the maintenance needs (time to fault and required supply parts) and improve the maintenance schedule and costs.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://hdl.handle.net/10446/63690 http://hdl.handle.net/10446/63690]<br />
<br />
* [https://aisberg.unibg.it/bitstream/10446/63690/1/Fasanotti%20Phd.pdf https://aisberg.unibg.it/bitstream/10446/63690/1/Fasanotti%20Phd.pdf]<br />
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* [http://xplorestaging.ieee.org/ielx7/6926648/6945470/06945613.pdf?arnumber=6945613 http://xplorestaging.ieee.org/ielx7/6926648/6945470/06945613.pdf?arnumber=6945613],<br />
: [http://dx.doi.org/10.1109/indin.2014.6945613 http://dx.doi.org/10.1109/indin.2014.6945613]<br />
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* [https://dblp.uni-trier.de/db/conf/indin/indin2014.html#Fasanotti14 https://dblp.uni-trier.de/db/conf/indin/indin2014.html#Fasanotti14],<br />
: [https://aisberg.unibg.it/handle/10446/63690 https://aisberg.unibg.it/handle/10446/63690],<br />
: [https://ieeexplore.ieee.org/document/6945613 https://ieeexplore.ieee.org/document/6945613],<br />
: [https://academic.microsoft.com/#/detail/1989597874 https://academic.microsoft.com/#/detail/1989597874]</div>Scipediacontent