Finding fault: study of Maglev train suspensions paves way for simpler industrial fault detection through AI

A new approach of industrial fault detection based on Artificial Intelligence has been studied on the electro-magnetic suspension of floating Maglev trains and could be applied to other safety-critical control systems, scientists believe. Researchers analysed control system reliability using Maglev trains – a transport method that uses magnetic levitation to move vehicles without touching the…

Industry experts impressed with student showcase

Companies have invited Computer Science students to share their project work with staff following a a two-day showcase. Postgraduate by Research students and final year undergraduates presented their work to fellow students, academic staff and visitors at the showcase on 6-7 May. The industrial panel commented the overall standard  was very impressive and that the awarding of…

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