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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fasanotti, L. |
| Copyright Year | 2014 |
| Description | Author affiliation: Intellimech Consortium, CELS Univ. of Bergamo, Bergamo, Italy (Fasanotti, L.) |
| 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. |
| Sponsorship | IEEE Ind. Electron. Soc. |
| Starting Page | 783 |
| Ending Page | 786 |
| File Size | 218658 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479949052 |
| DOI | 10.1109/INDIN.2014.6945613 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-27 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pipelines multi-agents system Maintenance engineering distributed system Diagnostic Standards Training prognostic Fault detection intelligent maintenance Artificial intelligence Immune system artificial immune system |
| Content Type | Text |
| Resource Type | Article |
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