| Non-destructive techniques for the condition and structural health monitoring of wind turbines: A literature review of the last 20 years M Civera, C Surace Sensors 22 (4), 1627, 2022 | 117 | 2022 |
| A comparative analysis of signal decomposition techniques for structural health monitoring on an experimental benchmark M Civera, C Surace Sensors 21 (5), 1825, 2021 | 90 | 2021 |
| A multi‐objective genetic algorithm strategy for robust optimal sensor placement M Civera, ML Pecorelli, R Ceravolo, C Surace, L Zanotti Fragonara Computer‐Aided Civil and Infrastructure Engineering 36 (9), 1185-1202, 2021 | 70 | 2021 |
| Machine learning‐based automatic operational modal analysis: A structural health monitoring application to masonry arch bridges M Civera, V Mugnaini, L Zanotti Fragonara Structural Control and Health Monitoring 29 (10), e3028, 2022 | 64 | 2022 |
| A machine learning approach for automatic operational modal analysis V Mugnaini, LZ Fragonara, M Civera Mechanical Systems and Signal Processing 170, 108813, 2022 | 64 | 2022 |
| Effects of curing on photosensitive resins in SLA additive manufacturing C Riccio, M Civera, O Grimaldo Ruiz, P Pedullà, M Rodriguez Reinoso, ... Applied Mechanics 2 (4), 2021 | 62 | 2021 |
| A DBSCAN-based automated operational modal analysis algorithm for bridge monitoring M Civera, L Sibille, LZ Fragonara, R Ceravolo Measurement 208, 112451, 2023 | 59 | 2023 |
| An experimental study of the feasibility of phase‐based video magnification for damage detection and localisation in operational deflection shapes M Civera, L Zanotti Fragonara, C Surace Strain 56 (1), e12336, 2020 | 54 | 2020 |
| System identification via fast relaxed vector fitting for the structural health monitoring of masonry bridges M Civera, G Calamai, LZ Fragonara Structures 30, 277-293, 2021 | 48 | 2021 |
| The Teager-Kaiser energy cepstral coefficients as an effective structural health monitoring tool M Civera, M Ferraris, R Ceravolo, C Surace, R Betti Applied Sciences 9 (23), 5064, 2019 | 35 | 2019 |
| An application of instantaneous spectral entropy for the condition monitoring of wind turbines M Civera, C Surace Applied Sciences 12 (3), 1059, 2022 | 34 | 2022 |
| Instantaneous spectral entropy: An application for the online monitoring of multi-storey frame structures M Civera, C Surace Buildings 12 (3), 310, 2022 | 33 | 2022 |
| Bridge monitoring: Application of the extreme function theory for damage detection on the I-40 case study D Martucci, M Civera, C Surace Engineering Structures 279, 115573, 2023 | 31 | 2023 |
| Detection and localization of multiple damages through entropy in information theory R Ceravolo, M Civera, E Lenticchia, G Miraglia, C Surace Applied Sciences 11 (13), 5773, 2021 | 30 | 2021 |
| Mechanical properties of animal tendons: a review and comparative study for the identification of the most suitable human tendon surrogates V Burgio, M Civera, M Rodriguez Reinoso, E Pizzolante, S Prezioso, ... Processes 10 (3), 485, 2022 | 28 | 2022 |
| A novel approach to damage localisation based on bispectral analysis and neural network M Civera, L Zanotti Fragonara, C Surace Techno Press, 2017 | 28 | 2017 |
| Treed gaussian process for manufacturing imperfection identification of pultruded GFRP thin-walled profile M Civera, G Boscato, LZ Fragonara Composite Structures 254, 112882, 2020 | 26 | 2020 |
| The extreme function theory for damage detection: an application to civil and aerospace structures D Martucci, M Civera, C Surace Applied sciences 11 (4), 1716, 2021 | 22 | 2021 |
| Using video processing for the full-field identification of backbone curves in case of large vibrations M Civera, L Zanotti Fragonara, C Surace Sensors 19 (10), 2345, 2019 | 22 | 2019 |
| Detection of cracks in beams using treed Gaussian processes M Civera, C Surace, K Worden Structural Health Monitoring & Damage Detection, Volume 7: Proceedings of …, 2017 | 22 | 2017 |
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