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Engineering

Photo of Dr Evangelos Papatheou

Dr Evangelos Papatheou

Senior Lecturer

 E.Papatheou@exeter.ac.uk

 (Streatham) 4655

 01392 724655


Overview

Evangelos Papatheou is a Senior Lecturer in the College of Engineering Mathematics and Physical Sciences of the University of Exeter. He has graduated from the Department of Mechanical Engineering & Aeronautics of the University of Patras (Greece). He then completed a PhD in the Department of Mechanical Engineering of the University of Sheffield on the subject of vibration-based Structural Health Monitoring (SHM) with a pattern recognition approach.

He continued working as a post-doctoral researcher in the Dynamics Research Group (University of Sheffield) and the Centre for Engineering Dynamics (University of Liverpool), where he worked in various projects which included among others, the design, development and testing of a smart energy harvesting suspended-load backpack, active control of structures with applications in aeroelasticity, and nonlinear dynamics. Before he moved in Exeter he was working part-time in two EPSRC projects 'Disease surveillance for structures and systems' involving population-based SHM, and 'Engineering Nonlinearity' involving nonlinearity in structural dynamics.

Previous applications of SHM involved aerospace structures (full-scale aircaft wings) and also wind turbines.

Evangelos is currently very interested in finding solutions to what he considers as the main challenges of the data-based approach to SHM: the acquisition/creation of reliable databases from damaged structures (under different damaged states), and the study/mitigation of the effect/influence of environmental conditions on the SHM methodologies.

Research interests

Machine Learning for Engineering Applications such as Structural Health Monitoring (SHM), Condition Monitoring, Fault detection

Structural Health Monitoring (SHM), vibration-based or data-based, with a pattern recognition (machine learning) approach.

Active control, Hardware in-the-loop (HIL) simulators, real-time hybrid testing of structures.

Vibration testing and Modal analysis.

Combination of model-based approaches (Finite Element Analysis) with pattern recognition and machine learning.

Smart systems (with applications to structures and also humans).

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Publications

Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.

| 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2008 | 2007 |

2023

2022

2021

2020

2019

2018

  • Papatheou E, Manson G, Worden K. (2018) Pseudo-faults (or damage metaphors) for SHM: A discussion on their practical use, Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics, pages 3825-3835.
  • Walker S, Lord C, Dervilis N, Papatheou E, Worden K. (2018) On the use of pseudo-damage to represent damage to structures in population-based Structural Health Monitoring, Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics, pages 3709-3722.

2017

  • Papatheou E, Dervilis N, Maguire AE, Campos C, Antoniadou I, Worden K. (2017) Performance monitoring of a wind turbine using extreme function theory, RENEWABLE ENERGY, volume 113, pages 1490-1502, DOI:10.1016/j.renene.2017.07.013. [PDF]
  • Dervilis N, Maguire AE, Papatheou E, Worden K. (2017) Wind Turbine Health Monitoring: Current and Future Trends with an Active Learning Twist, Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8, Springer, Cham, 119-129.

2016

  • Dervilis N, Papatheou E, Antoniadou I, Cross EJ, Worden K. (2016) On the usage of active learning for SHM, Sheffield, Proceedings of ISMA2016.
  • Papatheou E, Lord CE, Dervilis N, Wagg DJ, Worden K. (2016) An exploratory study of the suitability of a wind turbine blade as a nonlinear demonstrator, Sheffield, Proceedings of ISMA2016 including USD2016, pages 4069-4080.

2015

2014

  • Papatheou E, Manson G, Barthorpe RJ, Worden K. (2014) The use of pseudo-faults for damage location in SHM: An experimental investigation on a Piper Tomahawk aircraft wing, Journal of Sound and Vibration, volume 333, no. 3, pages 971-990, DOI:10.1016/j.jsv.2013.10.013.
  • Papatheou E, Rahman TAZ, Barthorpe RJ, Park J, Worden K. (2014) An experimental investigation of feature complexity and diversity in nominally similar test structures, Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics, pages 4665-4674.
  • Papatheou E, Dervilis N, Maguire AE, Worden K. (2014) Wind turbine structural health monitoring: A short investigation based on SCADA data, 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society, pages 512-519.

2013

2012

2011

  • Tondreau G, Deraemaeker A, Papatheou E. (2011) Experimental damage detection using modal filters on an aircraft wing, Proceedings of the 8th International Conference on Structural Dynamics, EURODYN 2011, pages 2083-2089.

2010

  • Deraemaeker A, Preumont A, Reynders E, De Roeck G, Kullaa J, Lämsä V, Worden K, Manson G, Barthorpe R, Papatheou E. (2010) Vibration-based structural health monitoring using large sensor networks, Smart Structures and Systems, volume 6, no. 3, pages 335-347, DOI:10.12989/sss.2010.6.3.335.
  • Papatheou E, Manson G, Barthorpe RJ, Worden K. (2010) The use of pseudo-faults for novelty detection in SHM, Journal of Sound and Vibration, volume 329, no. 12, pages 2349-2366, DOI:10.1016/j.jsv.2009.07.020.
  • Papatheou E, Manson G, Barthorpe RJ, Worden K. (2010) Damage location using added masses in a piper tomahawk aircraft wing, Proceedings of ISMA 2010 - International Conference on Noise and Vibration Engineering, including USD 2010, pages 1015-1028.
  • Papatheou E, Burrow SG, Clare LR, Sims N. (2010) A hardware in-the-loop simulator of a backpack energy harvester, Proceedings of ISMA 2010 - International Conference on Noise and Vibration Engineering, including USD 2010, pages 3757-3768.

2008

  • Manson G, Papatheou E, Worden K. (2008) Genetic optimisation of a neural network damage diagnostic, Aeronautical Journal, volume 112, no. 1131, pages 267-274, DOI:10.1017/S0001924000002219.
  • Papatheou E, Manson G, Worden K, Barthorpe R. (2008) The use of pseudo-faults for SHM feature selection and pattern recognition, Proceedings of the 4th European Workshop on Structural Health Monitoring, pages 1104-1112.
  • Papatheou E, Manson G, Worden K. (2008) Training damage classifiers in the absence of damage data, Conference Proceedings of the Society for Experimental Mechanics Series.
  • Papatheou E, Barthorpe R, Worden K, Manson G. (2008) Fault induction using added masses for structural damage identification, 23rd International Conference on Noise and Vibration Engineering 2008, ISMA 2008, volume 6, pages 3333-3344.

2007

  • Papatheou E, Manson G, Worden K. (2007) Genetic optimisation of a damage locator II, Conference Proceedings of the Society for Experimental Mechanics Series.

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