| Shearography technology and applications: a review D Francis, RP Tatam, RM Groves Measurement science and technology 21 (10), 102001, 2010 | 283 | 2010 |
| 2D and 3D non-destructive evaluation of a wooden panel painting using shearography and terahertz imaging RM Groves, B Pradarutti, E Kouloumpi, W Osten, G Notni Ndt & E International 42 (6), 543-549, 2009 | 82 | 2009 |
| Dual-wavelength image-plane digital holography for dynamic measurement Y Fu, G Pedrini, BM Hennelly, RM Groves, W Osten Optics and Lasers in Engineering 47 (5), 552-557, 2009 | 82 | 2009 |
| Detection of multiple low-energy impact damage in composite plates using Lamb wave techniques P Ochôa, V Infante, JM Silva, RM Groves Composites Part B: Engineering 80, 291-298, 2015 | 78 | 2015 |
| Kinematic and deformation parameter measurement by spatiotemporal analysis of an interferogram sequence Y Fu, RM Groves, G Pedrini, W Osten Applied Optics 46 (36), 8645-8655, 2007 | 68 | 2007 |
| DeepSHM: A deep learning approach for structural health monitoring based on guided Lamb wave technique V Ewald, RM Groves, R Benedictus Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2019 | 62 | 2019 |
| 3D monitoring of delamination growth in a wind turbine blade composite using optical coherence tomography P Liu, RM Groves, R Benedictus Ndt & E International 64, 52-58, 2014 | 62 | 2014 |
| Multi-functional measurement using a single FBG sensor Y Mizutani, RM Groves Experimental mechanics 51, 1489-1498, 2011 | 60 | 2011 |
| Acoustic emission source location using Lamb wave propagation simulation and artificial neural network for I-shaped steel girder L Cheng, H Xin, RM Groves, M Veljkovic Construction and Building Materials 273, 121706, 2021 | 49 | 2021 |
| Shape and slope measurement by source displacement in shearography RM Groves, SW James, RP Tatam Optics and lasers in Engineering 41 (4), 621-634, 2004 | 48 | 2004 |
| Investigations on Explainable Artificial Intelligence methods for the deep learning classification of fibre layup defect in the automated composite manufacturing S Meister, M Wermes, J Stüve, RM Groves Composites Part B: Engineering 224, 109160, 2021 | 46 | 2021 |
| Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set S Meister, N Möller, J Stüve, RM Groves Journal of Intelligent Manufacturing 32 (6), 1767-1789, 2021 | 45 | 2021 |
| Surface strain measurement: a comparison of speckle shearing interferometry and optical fibre Bragg gratings with resistance foil strain gauges RM Groves, E Chehura, W Li, SE Staines, SW James, RP Tatam Measurement Science and Technology 18 (5), 1175, 2007 | 41 | 2007 |
| Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process: A comprehensive study to improve AFP inspection S Meister, MAM Wermes, J Stüve, RM Groves Journal of Intelligent Manufacturing 32 (8), 2099-2119, 2021 | 37 | 2021 |
| Shearography non-destructive testing of thick GFRP laminates: Numerical and experimental study on defect detection with thermal loading N Tao, AG Anisimov, RM Groves Composite Structures 282, 115008, 2022 | 33 | 2022 |
| Epoxy-hBN nanocomposites: A study on space charge behavior and effects upon material D Saha, AG Anisimov, RM Groves, IA Tsekmes, PHF Morshuis, ... IEEE Transactions on Dielectrics and Electrical Insulation 24 (3), 1718-1725, 2017 | 33 | 2017 |
| Calculation of the mean strain of smooth non-uniform strain fields using conventional FBG sensors A Rajabzadeh, R Heusdens, RC Hendriks, RM Groves Journal of Lightwave Technology 36 (17), 3716-3725, 2018 | 32 | 2018 |
| Shearography as part of a multi-functional sensor for the detection of signature features in movable cultural heritage RM Groves, W Osten, M Doulgeridis, E Kouloumpi, T Green, S Hackney, ... O3A: Optics for Arts, Architecture, and Archaeology 6618, 265-273, 2007 | 32 | 2007 |
| Shearography as part of a multi-functional sensor for the detection of signature features in movable cultural heritage RM Groves, W Osten, M Doulgeridis, E Kouloumpi, T Green, S Hackney, ... O3A: Optics for Arts, Architecture, and Archaeology 6618, 265-273, 2007 | 32 | 2007 |
| Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM V Ewald, RS Venkat, A Asokkumar, R Benedictus, C Boller, RM Groves Mechanical Systems and Signal Processing 165, 108153, 2022 | 31 | 2022 |
Rinze BenedictusProfessor Structural Integrity & Composites, Delft University, Faculty of Aerospace EngineeringVerified email at tudelft.nl
