Non-destructive testing with AI: a data fusion approach
Details
Agenda:
6:00 pm: A talk by Dr. Adam Wootton
7:00 pm: Q & A, discussion and chat
Abstract:
The degradation of roads is an expensive problem: in the UK alone, £10 billion will need to have been spent on road repairs between 2013 and 2021. One potential cost-saver is the early, non-destructive detection of faults. This talk charts recent progress made at Keele University in developing a magnetic flux leakage approach to this problem, and the concurrent development of artificial intelligence techniques to complement this approach. Particular attention will be paid to the most successful aspect of this work, in which heterogeneous modalities of data were fused using Echo State Networks for the accurate detection of faults in steel reinforcing bars. This talk will not just explain how this improves upon existing data processing methods, but will also consider the advantages were conferred by using Echo State Networks for data fusion.
Adam Wootton Bio:
Dr Adam Wootton is a Teaching Fellow in Mathematics, Computing and Physics at the Keele University Foundation Year. His PhD thesis looked at the application of a particular computational intelligence technique, the Echo State Network, to the problem of heterogeneous data fusion in the context of non-destructive testing and structural health monitoring. He continues to maintain an interest in researching the applications of Echo State Networks in a wide range of fields.
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We will be providing pizza and drinks which are kindly provided by our sponsor, RP Analytics.
Please don’t forget to RSVP so we have an idea about the numbers attending
See you all at University of Nottingham,
Data Science Nottingham team