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) | Viewed by 3323
Special Issue Editor
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
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