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Transforming automated inspection & non-destructive testing: world-leading Open Access research on robotics, sensors & ultrasonics

Strathprints makes available scholarly Open Access content by researchers within the Centre for Ultrasonic Engineering, based within Electronic & Electrical Engineering.

Research at CUE brings together next generation robotics with sensing technology to enable inspection of high value components, such as aerospace components, at the point of manufacture. Non-destructive testing techniques using ultrasound and other sensors can then be deployed to assess components for structural faults or damage and thereby ensure they are built correctly and more efficiently. Research at CUE is to be stimulated by the construction of a new £2.5 million state-of-the-art Robotically-Enabled Sensing (RES) hub within the Department of Electronic & Electrical Engineering (EEE).

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Number of items: 8.

2015

D'Hulst, Reinhilde and Verbeeck, Jef and Caerts, Chris and Syed, Mazheruddin Hussain and Zaher, Ammar Samir Abd Elazim and Burt, Graeme; (2015) Frequency restoration reserves : provision and activation using a multi-agent demand control system. In: 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST). IEEE, pp. 601-605. ISBN 978-1-4799-7736-9

2012

Huang, Sikai and Infield, David and Zaher, Ammar Samir Abd Elazim; (2012) Potential of plug-in electric vehicles for supporting regional power distribution system operation with high penetration of wind generation. In: International Conference on Sustainable Power Generation and Supply (SUPERGEN2012). IEEE, CHN. ISBN 9781849196734

Carter, R. and Cruden, A. and Hall, P. J. and Zaher, A. S. (2012) An improved lead-acid battery pack model for use in power simulations of electric vehicles. IEEE Transactions on Energy Conversion, 27 (1). pp. 21-28. ISSN 0885-8969

2009

Zaher, Ammar and Cruden, A.J. and Booth, C.D. and Leithead, W.E. (2009) Database management for high resolution condition monitoring of wind turbines. In: The 44th International Universities' Power Engineering Conference, 2009-09-01 - 2009-09-04.

Zaher, A.S.A.E and McArthur, S.D.J. and Infield, D.G. and Patel, Y. (2009) Online wind turbine fault detection through automated SCADA data analysis. Wind Energy, 12 (6). pp. 574-593. ISSN 1095-4244

2008

Catterson, Victoria M. and McArthur, Stephen D.J. and Judd, Martin D. and Zaher, Ammar S. (2008) Managing remote online partial discharge data. IEEE Transactions on Power Delivery, 23 (4). pp. 1754-1762. ISSN 0885-8977

2007

Zaher, Ammar Samir Abd Elazim and McArthur, S.D.J. (2007) A multi-agent fault detection system for wind turbine defect recognition and diagnosis. In: IEEE Lausanne Powertech, 2007-07-01 - 2007-07-05, Lausanne.

Zaher, Ammar Samir Abd Elazim and McArthur, S.D.J.; (2007) A multi-agent fault detection system for wind turbine defect recognition and diagnosis. In: 2007 IEEE Lausanne Powertech Proceedings. IEEE, CHE, pp. 22-27. ISBN 9781424421893

This list was generated on Tue Mar 31 17:18:50 2020 BST.