Embedded, Edge and Cloud Computing for Gas Turbine Digital Twins

Panov, Vili and Cruz-Manzo, Samuel (2021) Embedded, Edge and Cloud Computing for Gas Turbine Digital Twins. In: International Conference on Aviation Motors – ICAM 2020, May 18-21, 2021, Moscow, Russia.

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Embedded, Edge and Cloud Computing for Gas Turbine Digital Twins
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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

This study explored development of a Gas Turbine Digital Twin based on Real-Time (Embedded \ Edge) high speed computing, which can be leveraged with IOT Cloud Platforms. Proposed solutions are provided in a form of modular software architecture for a range of platforms (Embedded \ PLC Based, Edge \ PC Based, Web \ Cloud Based) and with corresponding functionalities to support model-based control strategies (trip prevention & performance optimization) and advanced gas turbine health management

Keywords:Gas Turbine, Digital Twins, Performance, Embedded system, cloud computing
Subjects:H Engineering > H660 Control Systems
H Engineering > H650 Systems Engineering
H Engineering > H321 Turbine Technology
H Engineering > H300 Mechanical Engineering
Divisions:College of Science > School of Engineering
ID Code:45059
Deposited On:22 Jul 2021 11:02

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