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 […]
Category: Research
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
New Publication: Run-time Analysis of Road Surface Conditions Using Non-Contact Microwave Sensing
The Smart Systems Group congratulates Dr. Jamie Blanche for the acceptance of his paper to the IEEE Global Conference on Artificial Intelligence & Internet of Things on Sunday 13th December. This conference was held virtually and hosted in Dubai, UAE. Co-authored by Mr. Daniel Mitchell and Prof. David Flynn, this paper presents the results of […]
HOME Offshore: Advanced Sensing for Offshore Asset Management
We are pleased to share our latest outreach video, hosted on our Smart Systems Group YouTube channel. In this video, we have summarised and demonstrated the latest research outcomes of Heriot-Watt University and the Smart System Group, which innovative fusion prognostics approaches on offshore Asset Management. We utilise advanced sensing technologies, multi-physical models, data-driven and […]
Asset Integrity Monitoring of Wind Turbine Blades with Non-Destructive Radar Sensing
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 […]