An Adaptive Modeling Framework for Prognostics and Health Management of Manufacturing Machinery

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Oct 28, 2022
Maxwell Toothman

Abstract

This document summarizes my completed and planned PhD research. The goal of this work is to develop generalized modeling tools and frameworks that enable prognostics and health management for manufacturing equipment. Completed work towards this thesis includes a state-based operating model of manufacturing equipment health and a digital twin-based modeling framework. Planned work will develop a formalism for relating members of machine fleets and methods for automatically updating health models after deployment.

How to Cite

Toothman, M. (2022). An Adaptive Modeling Framework for Prognostics and Health Management of Manufacturing Machinery. Annual Conference of the PHM Society, 14(1). Retrieved from https://papers.phmsociety.org/index.php/phmconf/article/view/3400
Abstract 32 |

##plugins.themes.bootstrap3.article.details##

Keywords

Predictive maintenance, Digital twin, Adaptive modeling

Section
Doctoral Symposium Summaries