Output details
15 - General Engineering
University of Sheffield
Recognition of ultra high frequency partial discharge signals using multi-scale features
Harrison was selected by the State Key Laboratory in High Voltage at ChongQing University (CQU) as one of 10 international experts to collaborate on this multinational project (China, USA, UK) within the Chinese Government $88M “111 Project” (Prof M Chen). This paper has contributed to the award of follow-on funding (RMB960k p.a. to 2018) to CQU. A reduced complexity solution for incipient fault detection in HV transformers, suited to implementation on a modest hand-held device, was found by exploiting data structure, yielding equal performance to class-leaders, but with greatly reduced computational requirements and improved robustness.