Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants
Plant automation has become increasingly popular in various industries. However, errors are more likely to occur in difficult tasks that are often performed in an automated plant. Such tasks are often returned to the previous step, and re-executed in the event of a large-scale error. Therefore, it i...
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Atlantis Press
2021
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oai:doaj.org-article:ad382839870c4ef38a8a38be1b5dc9162021-11-17T09:14:38ZSelection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants10.2991/jrnal.k.210922.0121259613922352-6386https://doaj.org/article/ad382839870c4ef38a8a38be1b5dc9162021-10-01T00:00:00Zhttps://www.atlantis-press.com/article/125961392/viewhttps://doaj.org/toc/2352-6386Plant automation has become increasingly popular in various industries. However, errors are more likely to occur in difficult tasks that are often performed in an automated plant. Such tasks are often returned to the previous step, and re-executed in the event of a large-scale error. Therefore, it is important to decide both the past step to which the task needs to return and the recovery step following its return. In this study, various evaluation standards are used to realize the planning of error recovery, while considering these two factors.Akira NakamuraNatsuki YamanobeIxchel G. Ramirez-AlpizarKensuke HaradaYukiyasu DomaeAtlantis PressarticleError recoverytask stratificationerror classificationautomation plantTechnologyTENJournal of Robotics, Networking and Artificial Life (JRNAL), Vol 8, Iss 3 (2021) |
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Error recovery task stratification error classification automation plant Technology T |
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Error recovery task stratification error classification automation plant Technology T Akira Nakamura Natsuki Yamanobe Ixchel G. Ramirez-Alpizar Kensuke Harada Yukiyasu Domae Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants |
description |
Plant automation has become increasingly popular in various industries. However, errors are more likely to occur in difficult tasks that are often performed in an automated plant. Such tasks are often returned to the previous step, and re-executed in the event of a large-scale error. Therefore, it is important to decide both the past step to which the task needs to return and the recovery step following its return. In this study, various evaluation standards are used to realize the planning of error recovery, while considering these two factors. |
format |
article |
author |
Akira Nakamura Natsuki Yamanobe Ixchel G. Ramirez-Alpizar Kensuke Harada Yukiyasu Domae |
author_facet |
Akira Nakamura Natsuki Yamanobe Ixchel G. Ramirez-Alpizar Kensuke Harada Yukiyasu Domae |
author_sort |
Akira Nakamura |
title |
Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants |
title_short |
Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants |
title_full |
Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants |
title_fullStr |
Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants |
title_full_unstemmed |
Selection of Optimal Error Recovery Process using Evaluation Standards in Automated Plants |
title_sort |
selection of optimal error recovery process using evaluation standards in automated plants |
publisher |
Atlantis Press |
publishDate |
2021 |
url |
https://doaj.org/article/ad382839870c4ef38a8a38be1b5dc916 |
work_keys_str_mv |
AT akiranakamura selectionofoptimalerrorrecoveryprocessusingevaluationstandardsinautomatedplants AT natsukiyamanobe selectionofoptimalerrorrecoveryprocessusingevaluationstandardsinautomatedplants AT ixchelgramirezalpizar selectionofoptimalerrorrecoveryprocessusingevaluationstandardsinautomatedplants AT kensukeharada selectionofoptimalerrorrecoveryprocessusingevaluationstandardsinautomatedplants AT yukiyasudomae selectionofoptimalerrorrecoveryprocessusingevaluationstandardsinautomatedplants |
_version_ |
1718425630899437568 |