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 […]


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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 […]


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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 […]


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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 […]


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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 […]


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Deep Learning Pipeline for State-of-Health Classification of Electromagnetic Relays

The transition of AI into industrial maintenance faces significant challenges due to the inherent complexities of industrial operations, such as variability in components due to manufacturing, integration, dynamic operating environments and variable loading conditions. Therefore, AI in critical industrial systems requires more advanced capabilities such as robustness, scalability and verifiability. Our paper presents the first […]


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New Publication: Yield Assessment of off-grid PV Systems in Nigeria

Well done to our PhD student Christie Etukudor on her recent publication at the IEEE Power Africa Conference. Christie’s research was in response to the needs of over 592 million people who in Sub-Saharan Africa have no access to electricity. An issue being compounded by COVID related delays to investments in critical energy services. Christie created a hybrid […]


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Early Access Publication: Modeling Economic Sharing of Joint Assets in Community Energy Projects under LV Network Constraints

The Smart Systems Group congratulate Sonam Norbu, Dr. Benoit Couraud, Dr. Merlinda Andoni, Dr. Valentin Robu and Prof. David Flynn on the acceptance of their paper “Modeling Economic Sharing of Joint Assets in Community Energy Projects under LV Network Constraints“, published in IEEE Access (Early Access) today. “The trend of decentralization of energy services has […]


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New Publication: Prediction of voltage distribution using deep learning and identified key smart meter locations

The energy landscape for the Low-Voltage (LV) networks is undergoing rapid changes. These changes are driven by the increased penetration of distributed Low Carbon Technologies, both on the generation side (i.e. adoption of micro-renewables) and demand side (i.e. electric vehicle charging). The previously passive ‘fit-and-forget’ approach to LV network management is becoming increasing inefficient to […]


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New Publication: VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

An international and multidisciplinary research collaboration between Heriot-Watt University, Queensland University of Technology, Delft University of Technology and the University of Essex, has led to a publication on an open source framework for assessing the performance of VPR techniques. Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, […]


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