Digital Twin Development: A Step by Step Guideline

9 Pages Posted: 23 Oct 2020

See all articles by Dedy Ariansyah

Dedy Ariansyah

Cranfield University

Iñigo Fernàndez del Amo

Cranfield University

John Ahmet Erkoyuncu

Cranfield University

Merwan Agha

Cranfield University

Dominik Bulka

Cranfield University

Jose De La Puante

Cranfield University

Marion Langlois

Cranfield University

Yousra M’khinini

Cranfield University

Jim Sibson

Babcock International Group PLC

Steve Penver

Babcock International Group PLC

Date Written: October 23, 2020

Abstract

Digital Twin (DT) is a virtual representation, which integrates sensor data, physical models, historical data, and etc. to emulate the life of its physical counterpart. Although, existing studies have shown many use cases in health monitoring, decision-making support, and life-cycle management, the development of the DT remains complex. Meanwhile, there is a limited number of studies that investigate a generic and detailed method to develop the DT. Therefore, the aim of this paper is to present a step by step guideline that allows a developer to identify and to populate the requirements for developing the DT as well as to corroborate that the DT fulfil its missions. A case study of a modified mobile asset illustrated how the guideline was applied and how the DT purpose was validated through an empirical test. Further studies will investigate the attributes of the scalability and the flexibility of the proposed framework to pave a way for a common approach for the DT development and evaluation.

Keywords: Digital Twin; DT framework, maintenance

Suggested Citation

Ariansyah, Dedy and Fernàndez del Amo, Iñigo and Erkoyuncu, John Ahmet and Agha, Merwan and Bulka, Dominik and De La Puante, Jose and Langlois, Marion and M’khinini, Yousra and Sibson, Jim and Penver, Steve, Digital Twin Development: A Step by Step Guideline (October 23, 2020). TESConf 2020 - 9th International Conference on Through-life Engineering Services, Available at SSRN: https://ssrn.com/abstract=3717726 or http://dx.doi.org/10.2139/ssrn.3717726

Dedy Ariansyah (Contact Author)

Cranfield University ( email )

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Iñigo Fernàndez del Amo

Cranfield University

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

John Ahmet Erkoyuncu

Cranfield University ( email )

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Merwan Agha

Cranfield University

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Dominik Bulka

Cranfield University

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Jose De La Puante

Cranfield University

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Marion Langlois

Cranfield University

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Yousra M’khinini

Cranfield University

Cranfield
Bedfordshire MK43 OAL, MK43 0AL
United Kingdom

Jim Sibson

Babcock International Group PLC

33 Wigmore Street
London, W1U 1QX
United Kingdom

Steve Penver

Babcock International Group PLC

33 Wigmore Street
London, W1U 1QX
United Kingdom

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
200
Abstract Views
556
rank
206,101
PlumX Metrics