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Adaptive Multi-scale PHM for Robotic Assembly Processes
Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. As a rule, PHM information is not used in high-level decision-making in manufacturing systems. AM-PHM leverages and integrates component-level PHM information with...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486223/ https://www.ncbi.nlm.nih.gov/pubmed/28664161 |
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author | Choo, Benjamin Y. Beling, Peter A. LaViers, Amy E. Marvel, Jeremy A. Weiss, Brian A. |
author_facet | Choo, Benjamin Y. Beling, Peter A. LaViers, Amy E. Marvel, Jeremy A. Weiss, Brian A. |
author_sort | Choo, Benjamin Y. |
collection | PubMed |
description | Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. As a rule, PHM information is not used in high-level decision-making in manufacturing systems. AM-PHM leverages and integrates component-level PHM information with hierarchical relationships across the component, machine, work cell, and production line levels in a manufacturing system. The AM-PHM methodology enables the creation of actionable prognostic and diagnostic intelligence up and down the manufacturing process hierarchy. Decisions are made with the knowledge of the current and projected health state of the system at decision points along the nodes of the hierarchical structure. A description of the AM-PHM methodology with a simulated canonical robotic assembly process is presented. |
format | Online Article Text |
id | pubmed-5486223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
record_format | MEDLINE/PubMed |
spelling | pubmed-54862232017-06-27 Adaptive Multi-scale PHM for Robotic Assembly Processes Choo, Benjamin Y. Beling, Peter A. LaViers, Amy E. Marvel, Jeremy A. Weiss, Brian A. Proc Annu Conf Progn Health Manag Soc Article Adaptive multiscale prognostics and health management (AM-PHM) is a methodology designed to support PHM in smart manufacturing systems. As a rule, PHM information is not used in high-level decision-making in manufacturing systems. AM-PHM leverages and integrates component-level PHM information with hierarchical relationships across the component, machine, work cell, and production line levels in a manufacturing system. The AM-PHM methodology enables the creation of actionable prognostic and diagnostic intelligence up and down the manufacturing process hierarchy. Decisions are made with the knowledge of the current and projected health state of the system at decision points along the nodes of the hierarchical structure. A description of the AM-PHM methodology with a simulated canonical robotic assembly process is presented. 2015 /pmc/articles/PMC5486223/ /pubmed/28664161 Text en http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Article Choo, Benjamin Y. Beling, Peter A. LaViers, Amy E. Marvel, Jeremy A. Weiss, Brian A. Adaptive Multi-scale PHM for Robotic Assembly Processes |
title | Adaptive Multi-scale PHM for Robotic Assembly Processes |
title_full | Adaptive Multi-scale PHM for Robotic Assembly Processes |
title_fullStr | Adaptive Multi-scale PHM for Robotic Assembly Processes |
title_full_unstemmed | Adaptive Multi-scale PHM for Robotic Assembly Processes |
title_short | Adaptive Multi-scale PHM for Robotic Assembly Processes |
title_sort | adaptive multi-scale phm for robotic assembly processes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486223/ https://www.ncbi.nlm.nih.gov/pubmed/28664161 |
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