| Digital twins: state-of-the-art and future directions for modeling and simulation in engineering dynamics applications DJ Wagg, K Worden, RJ Barthorpe, P Gardner ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020 | 217 | 2020 |
| On damage diagnosis for a wind turbine blade using pattern recognition N Dervilis, M Choi, SG Taylor, RJ Barthorpe, G Park, CR Farrar, K Worden Journal of sound and vibration 333 (6), 1833-1850, 2014 | 184 | 2014 |
| On model-and data-based approaches to structural health monitoring RJ Barthorpe University of Sheffield, 2010 | 90 | 2010 |
| Robust methods of inclusive outlier analysis for structural health monitoring N Dervilis, EJ Cross, RJ Barthorpe, K Worden Journal of Sound and Vibration 333 (20), 5181-5195, 2014 | 73 | 2014 |
| The use of pseudo-faults for novelty detection in SHM E Papatheou, G Manson, RJ Barthorpe, K Worden Journal of Sound and Vibration 329 (12), 2349-2366, 2010 | 71 | 2010 |
| On evolutionary system identification with applications to nonlinear benchmarks K Worden, RJ Barthorpe, EJ Cross, N Dervilis, GR Holmes, G Manson, ... Mechanical Systems and Signal Processing 112, 194-232, 2018 | 64 | 2018 |
| A probabilistic risk-based decision framework for structural health monitoring AJ Hughes, RJ Barthorpe, N Dervilis, CR Farrar, K Worden Mechanical Systems and Signal Processing 150, 107339, 2021 | 53 | 2021 |
| Sensor placement optimization RJ Barthorpe, K Worden Encyclopedia of structural health monitoring, 2009 | 51 | 2009 |
| On digital twins, mirrors, and virtualizations: Frameworks for model verification and validation K Worden, EJ Cross, RJ Barthorpe, DJ Wagg, P Gardner ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020 | 39 | 2020 |
| The use of pseudo-faults for damage location in SHM: An experimental investigation on a Piper Tomahawk aircraft wing E Papatheou, G Manson, RJ Barthorpe, K Worden Journal of Sound and Vibration 333 (3), 971-990, 2014 | 39 | 2014 |
| Emerging trends in optimal structural health monitoring system design: From sensor placement to system evaluation RJ Barthorpe, K Worden Journal of Sensor and Actuator Networks 9 (3), 31, 2020 | 37 | 2020 |
| On risk-based active learning for structural health monitoring AJ Hughes, LA Bull, P Gardner, RJ Barthorpe, N Dervilis, K Worden Mechanical Systems and Signal Processing 167, 108569, 2022 | 34 | 2022 |
| On digital twins, mirrors and virtualisations K Worden, EJ Cross, P Gardner, RJ Barthorpe, DJ Wagg Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 34 | 2020 |
| Robust methods for outlier detection and regression for SHM applications N Dervilis, I Antoniadou, RJ Barthorpe, EJ Cross, K Worden International Journal of Sustainable Materials and Structural Systems 2 (1-2 …, 2015 | 25 | 2015 |
| Identification of hysteretic systems using NARX models, Part I: evolutionary identification K Worden, RJ Barthorpe Topics in Model Validation and Uncertainty Quantification, Volume 4 …, 2012 | 25 | 2012 |
| Novelty detection applied to vibration data from a CX-100 wind turbine blade under fatigue loading N Dervilis, M Choi, I Antoniadou, KM Farinholt, SG Taylor, RJ Barthorpe, ... Journal of Physics: Conference Series 382 (1), 012047, 2012 | 24 | 2012 |
| Aircraft parametric structural load monitoring using Gaussian process regression R Fuentes, E Cross, A Halfpenny, K Worden, RJ Barthorpe EWSHM-7th European workshop on structural health monitoring, 2014 | 23 | 2014 |
| Learning model discrepancy: A Gaussian process and sampling-based approach P Gardner, TJ Rogers, C Lord, RJ Barthorpe Mechanical Systems and Signal Processing 152, 107381, 2021 | 22 | 2021 |
| Machine learning applications for a wind turbine blade under continuous fatigue loading N Dervilis, M Choi, I Antoniadou, KM Farinholt, SG Taylor, RJ Barthorpe, ... Key Engineering Materials 588, 166-174, 2014 | 19 | 2014 |
| On multi-site damage identification using single-site training data RJ Barthorpe, G Manson, K Worden Journal of Sound and Vibration 409, 43-64, 2017 | 17 | 2017 |
Keith WordenUniversity of Sheffield在 sheffield.ac.uk 的电子邮件经过验证
