| An introduction to structural health monitoring CR Farrar, K Worden Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2007 | 3634 | 2007 |
| Structural health monitoring: a machine learning perspective CR Farrar, K Worden John Wiley & Sons, 2012 | 2168 | 2012 |
| Past, present and future of nonlinear system identification in structural dynamics G Kerschen, K Worden, AF Vakakis, JC Golinval Mechanical systems and signal processing 20 (3), 505-592, 2006 | 1521 | 2006 |
| Nonlinearity in structural dynamics: detection, identification and modelling K Worden CRC Press, 2019 | 1208 | 2019 |
| The fundamental axioms of structural health monitoring K Worden, CR Farrar, G Manson, G Park Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2007 | 906 | 2007 |
| Damage detection using outlier analysis K Worden, G Manson, NRJ Fieller Journal of Sound and vibration 229 (3), 647-667, 2000 | 831 | 2000 |
| Structural health monitoring using statistical pattern recognition techniques H Sohn, CR Farrar, NF Hunter, K Worden J. Dyn. Sys., Meas., Control 123 (4), 706-711, 2001 | 599 | 2001 |
| An overview of intelligent fault detection in systems and structures K Worden, JM Dulieu-Barton Structural Health Monitoring 3 (1), 85-98, 2004 | 585 | 2004 |
| The application of machine learning to structural health monitoring K Worden, G Manson Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2007 | 517 | 2007 |
| Machine learning algorithms for damage detection under operational and environmental variability E Figueiredo, G Park, CR Farrar, K Worden, J Figueiras Structural Health Monitoring 10 (6), 559-572, 2011 | 492 | 2011 |
| Time–frequency analysis in gearbox fault detection using the Wigner–Ville distribution and pattern recognition WJ Staszewski, K Worden, GR Tomlinson Mechanical systems and signal processing 11 (5), 673-692, 1997 | 473 | 1997 |
| Long-term monitoring and data analysis of the Tamar Bridge EJ Cross, KY Koo, JMW Brownjohn, K Worden Mechanical Systems and Signal Processing 35 (1-2), 16-34, 2013 | 463 | 2013 |
| Optimal sensor placement for fault detection K Worden, AP Burrows Engineering structures 23 (8), 885-901, 2001 | 459 | 2001 |
| Statistical damage classification under changing environmental and operational conditions H Sohn, K Worden, CR Farrar Journal of intelligent material systems and structures 13 (9), 561-574, 2002 | 411 | 2002 |
| Structural fault detection using a novelty measure K Worden Journal of Sound and vibration 201 (1), 85-101, 1997 | 410 | 1997 |
| Experimental validation of a structural health monitoring methodology: Part I. Novelty detection on a laboratory structure K Worden, G Manson, D Allman Journal of sound and vibration 259 (2), 323-343, 2003 | 346 | 2003 |
| Natural computing for mechanical systems research: A tutorial overview K Worden, WJ Staszewski, JJ Hensman Mechanical Systems and Signal Processing 25 (1), 4-111, 2011 | 343 | 2011 |
| Structural health monitoring algorithm comparisons using standard data sets E Figueiredo, G Park, J Figueiras, C Farrar, K Worden Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2009 | 305 | 2009 |
| 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 | 287 | 2020 |
| Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data EJ Cross, K Worden, Q Chen Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2011 | 284 | 2011 |
Nikolaos DervilisUniversity of Sheffield, Dynamics Research Group, Sheffield, UKVerified email at sheffield.ac.uk
