News

New Publication: Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment

Congratulations to Ranjeetkumar Gupta, David Bucknall and David Flynn on the acceptance of their recent manuscript “Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment” for publication in Applied Nanomaterials. ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications […]


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New Release: HOME Offshore Summary Brochure

The HOME Offshore team are pleased to announce the release of the new brochure, where we showcase how to de-risk offshore wind operations, reduce costs and make better use of assets through the applications of Modelling and Data Science, Machine Learning, Advanced Sensing and Robotics. An excellent academic and industrial collaboration thanks to the consortium […]


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New Publication: A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature

Congratulations to Darius Roman, Valentin Robu and David Flynn for acceptance of their research to IEEE Access. Their publication “A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature” was a collaborative work between the Smart Systems Group, the Argonne National Laboratory, Baker Hughes, the Center for Advanced Life Cycle Engineering (CALCE) and […]


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New method for controlling and sharing the benefits from community energy projects

Congratulations to Sonam Norbu, Benoit Couraud, Valentin Robu, Merlinda Andoni and David Flynn on the acceptance of their publication “Modelling the redistribution of benefits from joint investments in community energy projects” to Elsevier’s Applied Energy journal. Applied Energy provides a forum for information on innovation, research, development and demonstration in the areas of energy conversion and conservation, the optimal […]


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Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms

We are pleased to announce an early release of our research into symbiotic systems. This top-down approach to modelling the complex interactions of industrial autonomous services presents several advancements that will enable a roadmap to trust, resilient autonomous operations and safety compliance. The preprint is available on ArXiv by clicking here and video presentation which […]


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AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments – Available on IEEE Xplore Open Access

The Oil & Gas industry understands the potential of Artificial Intelligence (AI) and Big Data. However, contrary to AI consumer applications and many other industrial sectors, the dynamic and harsh environments of drilling and production operations as well as the global scale brings a very unique set of challenges for the deployment of industrialised, scalable […]


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Asset Integrity Monitoring of Wind Turbine Blades with Non-Destructive Radar Sensing -Available on IEEE Xplore Open Access

Global growth in onshore and offshore wind energy has created a forecasted 11.5% Compound Annual Growth Rate (CAGR) increase in Wind Turbine (WT) blades throughout 2020-2025. The ability to verify blade condition throughout the asset lifecycle is integral to economic and reliable renewable energy supplies. Currently, commercial inspection of deployed wind turbine blades is predominately […]


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An Evaluation of Millimetre-wave Radar Sensing for Civil Infrastructure – Available on IEEE Xplore Open Access

Critical infrastructure is a dense network of systems that provide vital services such as energy, transport and water. Continuous cycles of monitoring and repair are vital to the economic development and functions of a community. Current detection methods of subsurface fault precursors in civil infrastructure are insufficient for subsurface defect detection. In this paper, “An […]


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PhD opportunity: Digital surrogate of a microwave sensor system

We are pleased to announce an exciting new PhD opportunity, via our EPS scholarships 2021 programme. A microwave sensor system was created to detect the intrinsic and varying properties of materials via non-destructive evaluation. The system is made of a horn antenna and a frequency modulated continuous wave radar system that allows the processing of […]


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New Publication: Interactive Digital Twins Framework for Asset Management Through Internet

The Smart Systems Group congratulates Mr. Leo Kong for the acceptance of his paper to the IEEE Global Conference on Artificial Intelligence & Internet of Things on Monday 14th December. This conference was held virtually and hosted in Dubai, UAE. Co-authored by Mr. Sam Harper, Mr. Daniel Mitchell, Dr. Jamie Blanche, Dr. Theo Lim and […]


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