Latest revision as of 13:38, 26 January 2021

Abstract

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.

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/10446/63690

• https://aisberg.unibg.it/bitstream/10446/63690/1/Fasanotti%20Phd.pdf

• http://xplorestaging.ieee.org/ielx7/6926648/6945470/06945613.pdf?arnumber=6945613,

http://dx.doi.org/10.1109/indin.2014.6945613

• https://dblp.uni-trier.de/db/conf/indin/indin2014.html#Fasanotti14,

https://aisberg.unibg.it/handle/10446/63690,

https://ieeexplore.ieee.org/document/6945613,

https://academic.microsoft.com/#/detail/1989597874