Dr Merlinda Andoni, University of Glasgow. ‘‘Strategic decision-making on low-carbon technology and network capacity investments using game theory’’ Abstract: “Rapid adoption of renewable technologies has in many areas led to undesired curtailment. This means that not only renewable production is wasted, but often curtailment comes with high costs for renewable energy developers and energy end-users. […]
News
New Publication – A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector
The Smart Systems Group is pleased announce the publication of its latest article in Elsevier‘s open access journal, Energy and AI. Titled – “A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector“, this article represents a collaborative work between the Smart Systems Group, the Intelligent and Autonomous Systems Group […]
New Publication: A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials
The Smart Systems Group are pleased to announce a new publication titled “A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials“. Published in MDPI Journal of Composite Science, this article reviews the growing demand and diversity in the application of industrial composites, and the current inability of present non-destructive evaluation (NDE) methods […]
New Publication: Prognostics for Electromagnetic Relays Using Deep Learning
DOI: 10.1109/ACCESS.2022.3140645 Electromagnetic Relays (Electromagnetic Relay (EMR)s) are omnipresent in electrical systems, ranging from mass-produced consumer products to highly specialised, safety-critical industrial systems. Our detailed literature review focused on EMR reliability highlighting the methods used to estimate the State of Health or the Remaining Useful Life emphasises the limited analysis and understanding of expressive EMR […]
Resilience Autonomous Mission Update: Multi-Robot Fleet
The Smart Systems Group have continued their work in creating a Symbiotic System of Systems Approach (SSOSA) for robotics and autonomous systems. A challenge exists for robotics when these systems are deployed in known or unknown areas around humans, other robots and infrastructure. The Smart Systems Group seek to address these Resilience and Reliability challenges […]
University of Glasgow : Cyber Physical Systems
Professor David Flynn, founder of the Smart Systems Group, has accepted a new position as at the University of Glasgow as a Professor of Cyber Physical Systems. Professor Flynn will continue to support Heriot-Watt University (HWU) as a Visiting Professor and will continue to mentor several research associates and PhD students within the SSG who […]
New Publication: The role of Sensing in Sustainable and High Performance Composite Structures
Composite structures perform critical functions in an array of vital applications, such as Offshore Wind, Nuclear and Defence. The challenges of end of life management of composite structures is well documented e.g. 95% of WT blades going into land fill or being burnt. Other trends, such as the significant spike in global offshore investment places […]
TikTok Collaboration
TikTok represents one of the fastest growing social media platforms. This represents a great opportunity to reach new audiences, inspire upcoming generations and provide information to the public in a new way. This also includes a chance to bust some myths on Robotics and Artificial Intelligence. The Smart Systems Group and University of Manchester have […]
New Publication: Cyber Physical Systems, Solutions to Pandemic Challenges
The Smart Systems Group are pleased to announce the coming publication of Cyber Physical Systems, Solutions to Pandemic Challenges where, in collaboration with University of Edinburgh, we showcase The Future Workplace: A Symbiotic System of Systems Environment. The current pandemic has had catastrophic implications for people all across the world in terms of health and […]
A Method for DC Arc Fault Detection, Classification and Mitigation in Electric Vehicles
Arc faults in the power distribution system of an electric vehicle (EV) can result in damage to cables and associated equipment, as well as threaten the safety of the occupants of the EV. On-board components can create differential background noise, which limits the reliability of current arc detection methods. Within this paper an accurate and […]