Victoria M. Catterson

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Stephen McArthurDistinguished Professor of Intelligent Energy Systems, University of StrathclydeDirección de correo verificada de strath.ac.uk
Euan DavidsonChief Technology Officer, Smarter Grid SolutionsDirección de correo verificada de smartergridsolutions.com
Jose I. Aizpurua, SMIEEE (ORCID 000...Ikerbasque Research Fellow, Mondragon University - Electronics & Computer Science DepartmentDirección de correo verificada de mondragon.edu
Nikos HatziargyriouNational Technical University of Athens, School of Electrical and Computer EngineeringDirección de correo verificada de power.ece.ntua.gr
Aris DimeasSenior Researcher NTUADirección de correo verificada de power.ece.ntua.gr
Ferdinanda PonciRWTH Aachen UniversityDirección de correo verificada de eonerc.rwth-aachen.de
Simon M RowlandProfessor of Electrical Materials, The University of ManchesterDirección de correo verificada de manchester.ac.uk
Sanjay BahadoorsinghProfessor, The University of the West indies, St AugustineDirección de correo verificada de sta.uwi.edu
Campbell BoothUniversity of StrathclydeDirección de correo verificada de strath.ac.uk
Dr Martin D. JuddPrincipal Engineer, High Frequency Diagnostics & Engineering (HFDE) LtdDirección de correo verificada de hfde.co.uk
Qiteng HongUniversity of StrathclydeDirección de correo verificada de strath.ac.uk
Ferdinando ChiacchioUniversità degli Studi di CataniaDirección de correo verificada de dmi.unict.it
Adam DyśkoLecturer, University of StrathclydeDirección de correo verificada de strath.ac.uk
Diego D'UrsoUniversità degli Studi di CataniaDirección de correo verificada de diim.unict.it
Nur Hakimah Ab AzizUniversity of Strathclyde, Universiti Teknikal Malaysia MelakaDirección de correo verificada de strath.ac.uk
Grant GallowayApplied Scientist, AmazonDirección de correo verificada de amazon.com
Yiannis PapadopoulosProfessor of Computer Science, University of HullDirección de correo verificada de hull.ac.uk
David McMillanUniversity of StrathclydeDirección de correo verificada de eee.strath.ac.uk
Iain DinwoodieResearch Associate, University of StrathclydeDirección de correo verificada de strath.ac.uk

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Victoria M. Catterson

Institute for Energy and Environment, University of Strathclyde

Dirección de correo verificada de strath.ac.uk

condition monitoring data analytics machine learning intelligent systems HV equipment


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges SDJ McArthur, EM Davidson, VM Catterson, AL Dimeas, ND Hatziargyriou, ... Power Systems, IEEE Transactions on 22 (4), 1743 - 1752, 2007	1617*	2007
Multi-agent systems for power engineering applications—Part II: technologies, standards, and tools for building multi-agent systems SDJ McArthur, EM Davidson, VM Catterson, AL Dimeas, ND Hatziargyriou, ... Power Systems, IEEE Transactions on 22 (4), 1753-1759, 2007	719	2007
Adaptive power transformer lifetime predictions through machine learning and uncertainty modeling in nuclear power plants JI Aizpurua, SDJ McArthur, BG Stewart, B Lambert, JG Cross, ... IEEE Transactions on Industrial Electronics 66 (6), 4726-4737, 2018	115	2018
Online conditional anomaly detection in multivariate data for transformer monitoring VM Catterson, SDJ McArthur, G Moss IEEE Transactions on Power Delivery 25 (4), 2556-2564, 2010	70	2010
Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing JI Aizpurua, VM Catterson, BG Stewart, SDJ McArthur, B Lambert, ... IEEE Transactions on Dielectrics and Electrical Insulation 25 (2), 494-506, 2018	66	2018
Supporting group maintenance through prognostics-enhanced dynamic dependability prediction JI Aizpurua, VM Catterson, Y Papadopoulos, F Chiacchio, D D'Urso Reliability Engineering & System Safety 168, 171-188, 2017	65	2017
Lenzilumab in hospitalised patients with COVID-19 pneumonia (LIVE-AIR): a phase 3, randomised, placebo-controlled trial Z Temesgen, CD Burger, J Baker, C Polk, CR Libertin, CF Kelley, ... The Lancet Respiratory Medicine 10 (3), 237-246, 2022	61	2022
Practical applications of multi‐agent systems in electric power systems VM Catterson, EM Davidson, SDJ McArthur European Transactions on Electrical Power 22 (2), 235-252, 2012	60	2012
Issues in integrating existing multi-agent systems for power engineering applications VM Catterson, EM Davidson, SDJ McArthur Proceedings of the 13th International Conference on, Intelligent Systems …, 2005	60	2005
Towards a methodology for design of prognostic systems JI Aizpurua, VM Catterson Annual conference of the phm society 7 (1), 2015	56	2015
Deep neural networks for understanding and diagnosing partial discharge data VM Catterson, B Sheng 2015 IEEE electrical insulation conference (EIC), 218-221, 2015	45	2015
A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty JI Aizpurua, VM Catterson, IF Abdulhadi, MS Garcia IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (9), 1637-1648, 2017	44	2017
Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index JI Aizpurua, BG Stewart, SDJ McArthur, B Lambert, JG Cross, ... Applied Soft Computing 85, 105530, 2019	36	2019
An agent-based implementation of hidden Markov models for gas turbine condition monitoring AD Kenyon, VM Catterson, SDJ McArthur, J Twiddle IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (2), 186-195, 2013	35	2013
Circuit breaker prognostics using SF< inf> 6</inf> data SE Rudd, VM Catterson, SDJ McArthur, C Johnstone Power and Energy Society General Meeting, 2011 IEEE, 1-6, 2011	34	2011
Embedded intelligence for electrical network operation and control V Catterson, E Davidson, S McArthur IEEE Intelligent systems 26 (2), 38-45, 2011	34	2011
Improved dynamic dependability assessment through integration with prognostics JI Aizpurua, VM Catterson, Y Papadopoulos, F Chiacchio, G Manno IEEE Transactions on Reliability 66 (3), 893-913, 2017	33	2017
On-line transformer condition monitoring through diagnostics and anomaly detection VM Catterson, SE Rudd, SDJ McArthur, G Moss 2009 15th International Conference on Intelligent System Applications to …, 2009	33	2009
Learning models of plant behavior for anomaly detection and condition monitoring AJ Brown, VM Catterson, M Fox, D Long, SDJ McArthur 2007 International Conference on Intelligent Systems Applications to Power …, 2007	32	2007
Diagnosis of tidal turbine vibration data through deep neural networks GS Galloway, VM Catterson, T Fay, A Robb, C Love Third European Conference of the Prognostics and Health Management Society …, 2016	31	2016

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