1. Digital Twin for Verification and Validation of Industrial Automation Systems – a Survey
- Author
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Tobias Jung, Nasser Jazdi, Andreas Löcklin, Dustin White, Manuel Müller, and Michael Weyrich
- Subjects
0209 industrial biotechnology ,Product design ,Computer science ,media_common.quotation_subject ,020208 electrical & electronic engineering ,02 engineering and technology ,020901 industrial engineering & automation ,Enabling ,0202 electrical engineering, electronic engineering, information engineering ,Systems engineering ,Key (cryptography) ,Dependability ,Quality (business) ,Industrial automation systems ,media_common ,Verification and validation - Abstract
Digital Twins will change how systems and products are engineered and operated. Individual virtual representations of assets help to develop, maintain and change single components or whole factories. Aerospace engineering, product design and intelligent manufacturing are hot spots for the use of Digital Twins. Simultaneously, globalized markets lead to a growing awareness of dependability and quality, which increases the importance of verification and validation. The Digital Twin could prove to be key enabler for efficient verification and validation processes. This paper presents the results of the literature review of approaches that use Digital Twins for verification and validation purposes. Many solutions have been found for a wide range of challenges in various fields of application. This survey discusses the underlying methods and the elements of Digital Twins already in use. Most research approaches focus on simulations and three methodological clusters of approaches sharing similar ideas were identified.
- Published
- 2020
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