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Self-Diagnosis and Automatic Configuration of Smart Components in Advanced Manufacturing Systems

Authors:
Rui Pinto
João Reis
Vitor Sousa
Ricardo Silva
Gil Gonçalves

Keywords: Wireless Sensor Networks; Intelligent Systems; Manufacturing Systems; Sensor Diagnostics and Validation; Over the air Programming

Abstract:
One of the key elements for the next generation of Intelligent Manufacturing is the capability of self-diagnosis, where the machinery used can itself report any breakdown or malfunction based on data, and self-reconfiguration as a way to improve responsiveness in case of sudden requirement changes, either by customer request or production line downtime. All these capabilities allow for quicker and improved systems reliability, leveraging the critical production phases as ramp-up, scheduled and unscheduled maintenance. Based on these premises, the main intent of the project Intelligent Reconfigurable Machines for Smart Plug&Produce Production (I-RAMP3) is to develop innovative concepts such as NETwork-enabled DEVices (NETDEVs) acting as a technological shell to all the shop-floor equipment, converting it into an agent-like system and tackling the existing gaps between hardware and software for improving the European Industry.

Pages: 164 to 169

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-437-4

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015