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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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Jump to: 2019 | 2018 | 2016 | 2015 | 2014
Number of items: 8.

2019

He, Kanghang and Jakovetic, Dusan and Zhao, Bochao and Stankovic, Vladimir and Stankovic, Lina and Cheng, Samuel (2019) A generic optimisation-based approach for improving non-intrusive load monitoring. IEEE Transactions on Smart Grid, 10 (6). pp. 6472-6480. ISSN 1949-3053

2018

Zhao, Bochao and He, Kanghang and Stankovic, Lina and Stankovic, Vladimir (2018) Improving event-based non-intrusive load monitoring using graph signal processing. IEEE Access. pp. 1-15. ISSN 2169-3536

Attar, Hani and Alhihi, Mohamad and Zhao, Bochao and Stankovic, Lina (2018) Network coding hard and soft decision behavior over the physical layer using PUMTC. In: 4th IEEE International Conference on Advances in Computing and Communication Engineering, 2018-06-22 - 2018-06-23.

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir (2018) Electricity usage profile disaggregation of hourly smart meter data. In: 4th International Workshop on Non-Intrusive Load Monitoring, 2018-03-07 - 2018-03-08.

2016

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir (2016) On a training-less solution for non-intrusive appliance load monitoring using graph signal processing. IEEE Access, 4. pp. 1784-1799.

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir; (2016) Blind non-intrusive appliance load monitoring using graph-based signal processing. In: 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., USA, pp. 68-72. ISBN 9781479975914

2015

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir (2015) Blind non-intrusive appliance load monitoring using graph-based signal processing. In: GLOBALSIP-2015, 2015-12-14 - 2015-12-16, FL.

2014

Murray, D. and Zhao, B. and Elafoudi, G. and Liao, J. and Stankovic, L. and Stankovic, V. (2014) Combined network coding and paillier homomorphic encryption for ensuring consumer data privacy in smart grid networks. In: Algebra, Codes and Networks 2014, 2014-06-16 - 2014-06-20.

This list was generated on Sun Apr 5 02:38:05 2020 BST.