期刊
52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS)
卷 81, 期 -, 页码 417-422出版社
ELSEVIER
DOI: 10.1016/j.procir.2019.03.072
关键词
Digital Twin; physics-based modelling; predictive maintenance
资金
- European Union [767287]
- H2020 Societal Challenges Programme [767287] Funding Source: H2020 Societal Challenges Programme
This paper presents a methodology for advanced physics-based modeling aiming to enable the Digital Twin (DT) concept in predictive maintenance applications. The proposed methodology consists of two main pillars; Digital model creation and Digital Twin enabling. Following this procedure, which is analyzed in the paper, the user is able to define, create and utilize the digital model of a resource, as well as to enable the DT concept. A digital model of an industrial robot was created aiming to validate the proposed methodology which can be utilized potentially in predictive maintenance applications. (C) 2019 The Authors. Published by Elsevier Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据