Health monitoring P Anuzis, SP King, DM King, L Tarassenko, P Hayton, S Utete US Patent 6,928,370, 2005 | 212 | 2005 |
A system for the analysis of jet engine vibration data A Nairac, N Townsend, R Carr, S King, P Cowley, L Tarassenko Integrated Computer-Aided Engineering 6 (1), 53-66, 1999 | 149 | 1999 |
Method and system for analysing tachometer and vibration data from an apparatus having one or more rotary components D King, K Astley, L Tarassenko, P Anuzis, P Hayton, S King US Patent 7,640,802, 2010 | 137 | 2010 |
Static and dynamic novelty detection methods for jet engine health monitoring P Hayton, S Utete, D King, S King, P Anuzis, L Tarassenko Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2007 | 113 | 2007 |
Novelty detection L Tarassenko, DA Clifton, PR Bannister, S King, D King Encyclopedia of structural health monitoring, 2009 | 66 | 2009 |
Novelty Detection KSP Tarassenko L, Bannister P, Clifton D, King D Encyclopaedia of Structural Health Monitoring, 653-689, 2009 | 66* | 2009 |
Bayesian extreme value statistics for novelty detection in gas-turbine engines DA Clifton, L Tarassenko, N McGrogan, D King, S King, P Anuzis 2008 ieee aerospace conference, 1-11, 2008 | 56 | 2008 |
The use of novelty detection techniques for monitoring high-integrity plant SP King, DM King, K Astley, L Tarassenko, P Hayton, S Utete Proceedings of the International Conference on Control Applications 1, 221-226, 2002 | 53 | 2002 |
Bearing anomaly detection and location KR Astley, P Anuzis, SP King, DM King US Patent 6,999,884, 2006 | 31 | 2006 |
Application of deep reinforcement learning for extremely rare failure prediction in aircraft maintenance MD Dangut, IK Jennions, S King, Z Skaf Mechanical Systems and Signal Processing 171, 108873, 2022 | 28 | 2022 |
Probabilistic approach to the condition monitoring of aerospace engines S King, PR Bannister, DA Clifton, L Tarassenko Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2009 | 24 | 2009 |
A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach MD Dangut, IK Jennions, S King, Z Skaf Neural Computing and Applications 35 (4), 2991-3009, 2023 | 16 | 2023 |
Aircraft engine health monitoring using density modelling and extreme value statistics S Sundaram, IGD Strachan, DA Clifton, L Tarassenko, S King Proceedings of the 6th International Conference on Condition Monitoring and …, 2009 | 16 | 2009 |
Bearing anomaly detection and location KR Astley, P Anuzis, SP King, DM King US Patent 7,191,073, 2007 | 16 | 2007 |
Robust function-on-function regression H Hullait, DS Leslie, NG Pavlidis, S King Technometrics 63 (3), 396-409, 2021 | 13 | 2021 |
Method of managing operational health of assets SP King, B Adrian, PA Flint, DK Goodall US Patent 8,594,924, 2013 | 11 | 2013 |
Equipment health monitoring in complex systems SP King, AR Mills, V Kadirkamanathan, DA Clifton Artech House, 2017 | 7 | 2017 |
Operating parameter monitoring method TL Priori, SP King, VB Savarin US Patent App. 14/455,365, 2015 | 7 | 2015 |
The automatic interpretation of vibration data from gas turbines RJ Allwood, SP King, NJ Pitts The Aeronautical Journal 100 (993), 99-107, 1996 | 6 | 1996 |
Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review J Li, S King, I Jennions Machines 11 (4), 481, 2023 | 4 | 2023 |