| Vision‐based algorithms for damage detection and localization in structural health monitoring Z Dworakowski, P Kohut, A Gallina, K Holak, T Uhl Structural Control and Health Monitoring 23 (1), 35-50, 2016 | 102 | 2016 |
| Application of artificial neural networks for compounding multiple damage indices in Lamb‐wave‐based damage detection Z Dworakowski, L Ambrozinski, P Packo, K Dragan, T Stepinski Structural Control and Health Monitoring 22 (1), 50-61, 2015 | 41 | 2015 |
| Multi-stage temperature compensation method for Lamb wave measurements Z Dworakowski, L Ambrozinski, T Stepinski Journal of Sound and Vibration 382, 328-339, 2016 | 36 | 2016 |
| Artificial neural network ensembles for fatigue damage detection in aircraft Z Dworakowski, K Dragan, T Stepinski Journal of Intelligent Material Systems and Structures 28 (7), 851-861, 2017 | 35 | 2017 |
| Vibration-based diagnostics of epicyclic gearboxes–From classical to soft-computing methods A Jablonski, Z Dworakowski, K Dziedziech, F Chaari Measurement 147, 106811, 2019 | 26 | 2019 |
| A novel method for speed recovery from vibration signal under highly non-stationary conditions K Dziedziech, A Jablonski, Z Dworakowski Measurement 128, 13-22, 2018 | 21 | 2018 |
| A structure's deflection measurement and monitoring system supported by a vision system P Kohut, A Gaska, K Holak, K Ostrowska, J Sładek, T Uhl, Z Dworakowski TM-Technisches Messen 81 (12), 635-643, 2014 | 17 | 2014 |
| Application of artificial neural networks for damage indices classification with the use of Lamb waves for the aerospace structures Z Dworakowski, Ł Ambroziński, P Packo, K Dragan, T Stepinski, T Uhl Key engineering materials 588, 12-21, 2014 | 13 | 2014 |
| Application of PZT ceramic sensors for composite structure monitoring using harmonic excitation signals and bayesian classification approach M Dziendzikowski, M Heesch, J Gorski, K Dragan, Z Dworakowski Materials 14 (19), 5468, 2021 | 11 | 2021 |
| An anomaly detection method for rotating machinery monitoring based on the most representative data A Lis, Z Dworakowski, P Czubak Journal of Vibroengineering 23 (4), 861-876, 2021 | 9 | 2021 |
| Comparison of novelty detection methods for detection of various rotary machinery faults J Górski, A Jabłoński, M Heesch, M Dziendzikowski, Z Dworakowski Sensors 21 (10), 3536, 2021 | 9 | 2021 |
| A review of methods for excitation force reconstruction K Mendrok, Z Dworakowski Diagnostyka 20, 2019 | 9 | 2019 |
| Indirect measurement of loading forces with high-speed camera K Mendrok, Z Dworakowski, K Dziedziech, K Holak Sensors 21 (19), 6643, 2021 | 8 | 2021 |
| A novelty detection approach to monitoring of epicyclic gearbox health Z Dworakowski, K Dziedziech, A Jabłoński Metrology and Measurement Systems 25 (3), 2018 | 8 | 2018 |
| Fuzzy-logic-based recommendation system for processing in condition monitoring J Gorski, M Heesch, M Dziendzikowski, Z Dworakowski Sensors 22 (10), 3695, 2022 | 7 | 2022 |
| Identification of the stick and slip motion between contact surfaces using artificial neural networks J Górski, A Klepka, K Dziedziech, J Mrówka, R Radecki, Z Dworakowski Nonlinear Dynamics 100, 225-242, 2020 | 7 | 2020 |
| Epicyclic gearbox fault detection by instantaneous circular pitch cycle map K Dziedziech, A Jablonski, Z Dworakowski Mechanical Systems and Signal Processing 121, 600-614, 2019 | 7 | 2019 |
| Vision-based measurement systems for static and dynamic characteristics of overhead lines P Kohut, K Holak, Z Dworakowski, K Mendrok Journal of Vibroengineering 18 (4), 2113-2122, 2016 | 6 | 2016 |
| Damage localization in plates with use of the procedure based on Modal Filtration Z Dworakowski, L Ambrozinski, K Mendrok Journal of Physics: Conference Series 628 (1), 012028, 2015 | 5 | 2015 |
| Data fusion for compensation of temperature variations in Lamb-wave based SHM systems Z Dworakowski, L Ambrozinski, T Stepinski Health Monitoring of Structural and Biological Systems 2015 9438, 429-436, 2015 | 5 | 2015 |
