Special Issue "Digital Twins Development and Deployment"

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Manufacturing Technology".

Deadline for manuscript submissions: closed (31 December 2020).

Special Issue Editor

Prof. Dr. Diego Galar
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Guest Editor
Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics, Luleå University of Technology, Luleå, Sweden
Interests: prognostics; servitization; digitization; MaaS; eMaintenance; diagnostics; supportability; hybrid models

Special Issue Information

Dear Colleagues,

The technology and operation of assets are complex, but the adoption of IoT in and its use with OT platforms enable the use of ‘digital twins’ to manage, monitor, and maintain assets. The digital twin connects complex assets and their OT systems to an IT environment by capturing data to monitor performance, deterioration and failure, location and safety compliance, and remote monitoring systems for scheduling and asset utilization.

Through data fusion, digital twins become virtual and digital representations of physical entities or systems. However, the clone created with IT and OT convergence to forecast failures, demand, customer behavior, or degradation of assets is not complete since it lacks engineering knowledge. This happens because the digital engineering models developed during the engineering phase of projects do not typically play a role in the operational phase.

Therefore, digital transformation demands that engineering technology (ET) be included in the IT/OT convergence process as the importance of integrating product design increases. For that purpose, digital twins must be complemented by other information to assess the overall condition of the whole fleet/system, including information from design and manufacturing, as this contains the physical knowledge of assets.

Prof. Dr. Diego Galar
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Article
Hybrid Model Development for HVAC System in Transportation
Technologies 2021, 9(1), 18; https://0-doi-org.brum.beds.ac.uk/10.3390/technologies9010018 - 05 Mar 2021
Cited by 1 | Viewed by 862
Abstract
Hybrid models combine physics-based models and data-driven models. This combination is a useful technique to detect fault and predict the current degradation of equipment. This paper proposes a physics-based model, which will be part of a hybrid model, for a heating, ventilation, and [...] Read more.
Hybrid models combine physics-based models and data-driven models. This combination is a useful technique to detect fault and predict the current degradation of equipment. This paper proposes a physics-based model, which will be part of a hybrid model, for a heating, ventilation, and air conditioning system installed in the passenger vehicle of a train. The physics-based model is divided into four main parts: heating subsystems, cooling subsystems, ventilation subsystems, and cabin thermal networking subsystems. These subsystems are developed when considering the sensors that are located in the real system, so the model can be linked via the acquired sensor data and virtual sensor data to improve the detectability of failure modes. Thus, the physics-based model can be synchronized with the real system to provide better simulation results. The paper also considers diagnostics and prognostics performance. First, it looks at the current situation of the maintenance strategy for the heating, ventilation, air conditioning system, and the number of failure modes that the maintenance team can detect. Second, it determines the expected improvement using hybrid modelling to maintain the system. This improvement is based on the capabilities of detecting new failure modes. The paper concludes by suggesting the future capabilities of hybrid models. Full article
(This article belongs to the Special Issue Digital Twins Development and Deployment)
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