Capturing, classification and concept generation for automated maintenance tasks

Date published

2014-04-24

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Journal ISSN

Volume Title

Publisher

Elsevier

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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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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.

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