Methodology for enabling Digital Twin using advanced physics-based modelling in predictive maintenance
P. Aivaliotis, Konstantinos Georgoulias, Zoi Arkouli, Sotiris Makris
- 发表年份
- 2019
- 引用次数
- 233
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991