Through-life Monitoring of Resource-constrained Systems and Fleets

• URL: http://arxiv.org/abs/2301.01017v1
• Date: Tue, 3 Jan 2023 09:26:18 GMT
• Title: Through-life Monitoring of Resource-constrained Systems and Fleets
• Authors: Felipe Montana, Adam Hartwell, Will Jacobs, Visakan Kadirkamanathan, Andrew R Mills, Tom Clark
• Abstract summary: A Digital Twin (DT) is a simulation of a physical system that provides information to make decisions that add economic, social or commercial value. For resource-constrained systems, updating a DT is non-trivial because of challenges such as on-board learning and the off-board data transfer. This paper presents a framework for updating data-driven DTs of resource-constrained systems geared towards system health monitoring.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: A Digital Twin (DT) is a simulation of a physical system that provides information to make decisions that add economic, social or commercial value. The behaviour of a physical system changes over time, a DT must therefore be continually updated with data from the physical systems to reflect its changing behaviour. For resource-constrained systems, updating a DT is non-trivial because of challenges such as on-board learning and the off-board data transfer. This paper presents a framework for updating data-driven DTs of resource-constrained systems geared towards system health monitoring. The proposed solution consists of: (1) an on-board system running a light-weight DT allowing the prioritisation and parsimonious transfer of data generated by the physical system; and (2) off-board robust updating of the DT and detection of anomalous behaviours. Two case studies are considered using a production gas turbine engine system to demonstrate the digital representation accuracy for real-world, time-varying physical systems.

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