DocumentCode :
2639894
Title :
Self-adapting test-plans in production line: An application to vision control stations
Author :
Bastari, Alessandro ; Piersantelli, Matteo ; Cristalli, Cristina ; Paone, Nicola
Author_Institution :
Loccioni Group, AEA srl, Angeli di Rosora, Italy
fYear :
2012
fDate :
25-28 Oct. 2012
Firstpage :
4360
Lastpage :
4365
Abstract :
Automatic Quality Control (AQC) in production line needs a constant design and update of test plans, in order to face with incoming new models produced, variations in sub assembly components and modifications of environmental conditions. This time consuming and fatiguing activity is usually carried out by human operators, otherwise the AQC system could drift away from optimal operating conditions, thus providing unreliable result. In the present work, an innovative approach for self-creation and self-updating of test plans using only the knowledge gained from the production data (through a Multi Agent System architecture) is presented, along with its application to an AQC system based on machine vision. Real images from a washing machines production line are used to validate the algorithms. This work is being developed within the FP7 European Project GRACE (inteGration of pRocess and quAlity Control using multi-agEnt technology).
Keywords :
computer vision; production engineering computing; quality control; washing machines; AQC; FP7 European project; GRACE; automatic quality control; human operators; production line; self-adapting test-plans; subassembly components; vision control stations; washing machines production line; Assembly; Collaboration; Displacement measurement; TV; Uncertainty; Variable speed drives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
ISSN :
1553-572X
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2012.6389187
Filename :
6389187
Link To Document :
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