Capturing, classification and concept generation for automated maintenance tasks
Date
2014-04-24
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
Rights
Attribution-Non-Commercial-No Derivatives 3.0 Unported (CC BY-NC-ND 3.0).
You are free to:
Share — copy and redistribute the material in any medium or format.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Information:
Non-Commercial — You may not use the material for commercial purposes.
No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.