Development of an Open Distributed Digital Twin Model for Effective Asset management in Industrial Internet of Things (IIOT)

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ISBN – 978-1-936263-37-0
Published Oct 28, 2022
Ibrahim Abdullahi
a:1:{s:5:"en_US";s:20:"Cranfield University";}
Dr Suresh P.
Cranfield University IVHM Center
https://orcid.org/0000-0003-0942-1162

Abstract

This PhD work proposes developing an Open and Distributed Digital Twin (DT) Model suitable for Industrial Internet of Things (IIoT) enabled smart manufacturing with emphasisondecentralized intelligence using distributedfog/edge computing and the application of intelligent asset management and predictive maintenance. The proposed Open DT frameworkwill be designed to make a seamless integration of DT Modules from potentially different Original Equipment Manufacturers (OEMs), in form of a pluggable DT. The Architecture of the Proposed DT model is aimed to factor in the application of machine learning for effective asset management, predictive maintenance and health prognostics of the Unit, System and System of System Digital Twins while adopting fog/edge architecture for cost efficiency (of computing resources).

How to Cite

Abdullahi, I., & Perinpanayagam, S. (2022). Development of an Open Distributed Digital Twin Model for Effective Asset management in Industrial Internet of Things (IIOT). Annual Conference of the PHM Society, 14(1). Retrieved from https://papers.phmsociety.org/index.php/phmconf/article/view/3411
Abstract 2201 |

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Keywords

Digital Twins, Fog Computing, Predictive maintenance, Machine Learning

References
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Issue
Vol. 14 No. 1 (2022): Proceedings of the Annual Conference of the PHM Society 2022
Section
Doctoral Symposium Summaries
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