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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: 2017 | 2016 | 2015 | 2014
Number of items: 6.

2017

Al-Bugharbee, Hussein Razzaq Sabah and Abolfathi, Ali and Trendafilova, Irina (2017) Vibration-based damage detection of structure's joints in presence of uncertainty. In: International Conference on Engineering Vibration 2017 (ICoEV 2017), 2017-09-04 - 2017-09-07.

Al Bugharbee, Hussein and Trendafilova, Irina (2017) A methodology for fault detection in rolling element bearings using singular spectrum analysis. In: International Conference on Engineering Vibration 2017 (ICoEV 2017), 2017-09-04 - 2017-09-07. (In Press)

2016

Tabrizi, Ali Akbar and Al-Bugharbee, Hussein and Trendafilova, Irina and Garibaldi, Luigi (2016) A cointegration-based monitoring method for rolling bearings working in time-varying operational conditions. Meccanica. pp. 1-17. ISSN 0025-6455

Al-Bugharbee, Hussein and Trendafilova, Irina (2016) A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling. Journal of Sound and Vibration, 369 (12 May). pp. 246-245. ISSN 0022-460X

2015

Al-Bugharbee, H and Trendafilova, I (2015) Autoregressive modelling for rolling element bearing fault diagnosis. Journal of Physics: Conference Series, 628 (1). 012088. ISSN 1742-6588

2014

Garcia, David and Trendafilova, Irina and Al-Bugharbee, Hussein Razzaq Sabah (2014) Vibration-based health monitoring approach for composite structures using multivatiate statistical analysis. In: 14th European Workshop on Structura Health Monitoring, 2014-07-08 - 2014-07-11.

This list was generated on Fri Apr 10 01:31:33 2020 BST.