| An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade A Movsessian, DG Cava, D Tcherniak Mechanical Systems and Signal Processing 159, 107766, 2021 | 68 | 2021 |
| Two-step approach for fatigue crack detection in steel bridges using convolutional neural networks S Quqa, P Martakis, A Movsessian, S Pai, Y Reuland, E Chatzi Journal of Civil Structural Health Monitoring 12 (1), 127-140, 2022 | 28 | 2022 |
| Interpretable machine learning in damage detection using Shapley Additive Explanations A Movsessian, DG Cava, D Tcherniak ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022 | 21 | 2022 |
| On explicit and implicit procedures to mitigate environmental and operational variabilities in data-driven structural health monitoring D García Cava, LD Avendaño-Valencia, A Movsessian, C Roberts, ... Structural Health Monitoring Based on Data Science Techniques, 309-330, 2022 | 14 | 2022 |
| Feature selection techniques for modelling tower fatigue loads of a wind turbine with neural networks A Movsessian, M Schedat, T Faber Wind Energy Science 6 (2), 539-554, 2021 | 14* | 2021 |
| A semi-supervised interpretable machine learning framework for sensor fault detection P Martakis, A Movsessian, Y Reuland, SGS Pai, S Quqa, D Garcia Cava, ... Smart Struct. Syst. Int. J 29, 251-266, 2021 | 14 | 2021 |
| Mitigation of environmental variabilities in damage detection: a comparative study of two semi-supervised approaches A Movsessian, BA Qadri, D Tcherniak, DG Cava, MD Ulriksen EURODYN 2020: XI international conference on structural dynamics, 1281-1292, 2020 | 6 | 2020 |
| Adaptive feature selection for enhancing blade damage diagnosis on an operational wind turbine A Movsessian, D Garcia, D Tcherniak Proceedings of the 13th International Conference on Damage Assessment of …, 2020 | 5 | 2020 |
| A methodology on interpretable novelty detection A Movsessian, DG Cava, D Tcherniak, R Janeliukstis International Conference on Structural Dynamics (EURODYN 2020), 922-935, 2020 | 1 | 2020 |
| Data-driven frameworks for robust and interpretable damage detection in wind turbine blades A Movsessian The University of Edinburgh, 2022 | | 2022 |
| Investigation on Damage Sensitive Features for Optimal Sensor Networks based on Real-Scale Recordings S Quqa, M Malatesta, P Martakis, A Movsessian EURODYN 2020. Proceedings of the XI International Conference on Structural …, 2020 | | 2020 |
David Garcia CavaSenior Lecturer - University of EdinburghVerified email at ed.ac.uk
