Data Centric Engineering - Bristol Turing Fellows Projects Seminar Series, presenting also Newcastle led projects
Professor Paul Wilcox & Professor Nick Wright
Data Centric Engineering
Professor Paul Wilcox, Professor of Dynamics, Department of Mechanical Engineering, University of Bristol (10:30am - 11:00am)
Non-Destructive Evaluation (NDE) Data Science for Industry 4.0
This project is about applying data science to exploit the full potential of quantitative Non-Destructive Evaluation (NDE) measurements of engineering assets. Currently, the majority of NDE data is irreversibly condensed after a measurement is made and in doing so, a wealth of useful information that could impact on the future safety and economic utility of an asset is lost forever. This project aims to take advantage of new ML techniques and data storage capabilities to make use of NDE data.
Professor Nick Wright, Turing Fellow, School of Engineering, Newcastle University (11:00am -11:30am )
Boosting Manufacturing Productivity through AI
This project primarily addresses the efficiency and effectiveness of visual inspection which is the most important form of quality measurement in industries as diverse as car manufacturing, food and luxury goods. The use of AI in visual inspection is still in its infancy but AI has the potential to make an enormous impact and to contribute to a significant improvement in UK manufacturing productivity. This project utilises AI Deep Learning techniques to perform visual inspection on products whilst they are still in the manufacturing line – developing techniques to make fast identifications of faults in a highly reliable way and often in circumstances not ideal for computer systems – particularly in the harsh environment of a typical factory.