Capturing, classification and concept generation for automated maintenance tasks
Date published
2014-04-24
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Authors
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Department
Type
Article
ISSN
0007-8506
Format
Citation
M. Farnsworth, T. Tomiyama, Capturing, classification and concept generation for automated maintenance tasks, CIRP Annals - Manufacturing Technology, Volume 63, Issue 1, 2014, Pages 149-152
Abstract
Maintenance is an efficient and cost effective way to keep the function of the product available during the product lifecycle. Automating maintenance may drive down costs and improve performance time; however capturing the necessary information required to perform certain maintenance tasks and later building automated platforms to undertake them is very difficult. This paper looks at the creation of a novel methodology tasked with firstly the capture and classification of maintenance tasks and finally conceptual design of platforms for automating maintenance.
Description
Software Description
Software Language
Github
Keywords
Maintenance, Automation, Robot
DOI
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