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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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 […]


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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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ISSS Postgraduate Research Prize for 2021

The Smart Systems Group congratulate Daniel Mitchell who has been chosen as the winner of the Postgraduate 1st year Research Prize for 2021 from the Institute of Sensors, Signals and Systems, The School of Engineering and Physical Science (EPS) at Heriot-Watt University. 1st year Postgraduate Research Prizes, which were based on the research posters presented at […]


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How to plug the UK into desert sunshine

By Chris BaraniukTechnology of Business reporter If you wanted to build a gigantic new solar farm, you would probably choose the desert over Dartmoor. Many have dreamed of exploiting the desert sun, but one of the challenges has always been how to export that electricity. Xlinks, an energy start-up, says it has the answer with […]


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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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AI Safety 2021 Best Paper Award

We would like to congratulate our colleagues at Heriot-Watt, Liverpool University and DSTL, namely Zhao, X., Huang, W., Banks, A., Cox, V., Flynn, D., Schewe, S., & Huang, X, on winning the best paper award at AI Safety 2021 for our research on: Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational […]


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