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Victoria M. Catterson
Victoria M. Catterson
Institute for Energy and Environment, University of Strathclyde
Bestätigte E-Mail-Adresse bei strath.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
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
7192007
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
1142018
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
692010
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
652018
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
642017
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
612022
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
602012
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
602005
Towards a methodology for design of prognostic systems
JI Aizpurua, VM Catterson
Annual conference of the phm society 7 (1), 2015
562015
Deep neural networks for understanding and diagnosing partial discharge data
VM Catterson, B Sheng
2015 IEEE electrical insulation conference (EIC), 218-221, 2015
452015
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
442017
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
352013
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
342019
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
342011
Embedded intelligence for electrical network operation and control
V Catterson, E Davidson, S McArthur
IEEE Intelligent systems 26 (2), 38-45, 2011
342011
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
332017
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
332009
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
322007
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
312016
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