Creation of a Digital Twin Model, Redesign of Plant Structure and New Fuzzy Logic Controller for the Cooling System of a Railway Locomotive

Poce, Marica; Casiello, Giovanni; Ferrari, Lorenzo; Dei, Lorenzo Flaccomio Nardi; Saponara, Sergio

doi:10.1007/978-3-030-66729-0_15

Lecture Notes in Electrical Engineering

2021

DOI: 10.1007/978-3-030-66729-0_15

|View full text |Cite

Creation of a Digital Twin Model, Redesign of Plant Structure and New Fuzzy Logic Controller for the Cooling System of a Railway Locomotive

Marica Poce

Giovanni Casiello

Lorenzo Ferrari

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Digital Twin for Railway: A Comprehensive Survey

Ghaboura,

Ferdousi,

Laamarti

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Digital transformation has been prioritized in the railway industry to bring automation to railway operations. Digital Twin (DT) technology has recently gained attention in the railway industry to fulfill this goal. Contemporary researchers argue that DT can be advantageous in Railway manufacturing logistics to planning and scheduling. Although underlying technologies of DT, e.g., modelling, computer vision, and the Internet of Things, have been studied for various railway industry applications, the DT has been least explored in the context of railways. Thus, in this paper, we aim to understand the state-of-the-art of DT for railway (DTR), for advanced railway systems. Besides, this survey clarifies how DT can serve the railway twin system designers and developers. As DTR is still in its early adoption stage, there is hardly any clear direction to identify the technologies for specific DTR applications. Therefore, based on our findings we present a taxonomy for DTR for designers and developers. Finally, we describe potential challenges, pitfalls, and opportunities in DTR for future researchers.

show abstract

Digital Twin for Railway: A Comprehensive Survey

Ghaboura,

Ferdousi,

Laamarti

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Creation of a Digital Twin Model, Redesign of Plant Structure and New Fuzzy Logic Controller for the Cooling System of a Railway Locomotive

Cited by 1 publication

References 7 publications

Digital Twin for Railway: A Comprehensive Survey

Digital Twin for Railway: A Comprehensive Survey

Contact Info

Product

Resources

About