Adaptive multi-scale PHM for robotic assembly processes

Benjamin Y. Choo, Peter A. Beling, Amy E. LaViers, Jeremy A. Marvel, Brian A. Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 componentlevel 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.

Original languageEnglish (US)
Title of host publicationPHM 2015 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2015
EditorsMatthew J. Daigle, Anibal Bregon
PublisherPrognostics and Health Management Society
Pages428-439
Number of pages12
ISBN (Electronic)9781936263202
StatePublished - Jan 1 2015
Externally publishedYes
Event2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015 - San Diego, United States
Duration: Oct 18 2015Oct 22 2015

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
ISSN (Print)2325-0178

Other

Other2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015
CountryUnited States
CitySan Diego
Period10/18/1510/22/15

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

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