Search Results - "Catterson, Victoria"

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  1. 1

    Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants by Aizpurua, Jose Ignacio, McArthur, Stephen D. J., Stewart, Brian G., Lambert, Brandon, Cross, James G., Catterson, Victoria M.

    “…The remaining useful life (RUL) of transformer insulation paper is largely determined by the winding hot-spot temperature (HST). Frequently the HST is not…”
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    Journal Article
  2. 2

    Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing by Aizpurua, Jose Ignacio, Catterson, Victoria M., Stewart, Brian G., McArthur, Stephen D. J., Lambert, Brandon, Ampofo, Bismark, Pereira, Gavin, Cross, James G.

    “…Accurate diagnosis of power transformers is critical for the reliable and cost-effective operation of the power grid. Presently there are a range of methods…”
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    Journal Article
  3. 3

    On the use of dynamic reliability for an accurate modelling of renewable power plants by Chiacchio, Ferdinando, D’Urso, Diego, Famoso, Fabio, Brusca, Sebastian, Aizpurua, Jose Ignacio, Catterson, Victoria M.

    Published in Energy (Oxford) (15-05-2018)
    “…Renewable energies are a key element of the modern sustainable development. They play a key role in contributing to the reduction of the impact of fossil…”
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    Journal Article
  4. 4

    Drivers of mortality in COVID ARDS depend on patient sub-type by Cheyne, Helen, Gandomi, Amir, Hosseini Vajargah, Shahrzad, Catterson, Victoria M., Mackoy, Travis, McCullagh, Lauren, Musso, Gabriel, Hajizadeh, Negin

    Published in Computers in biology and medicine (01-11-2023)
    “…The most common cause of death in people with COVID-19 is Acute Respiratory Distress Syndrome (ARDS). Prior studies have demonstrated that ARDS is a…”
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    Journal Article
  5. 5

    A Model-Based Hybrid Approach for Circuit Breaker Prognostics Encompassing Dynamic Reliability and Uncertainty by Aizpurua, Jose Ignacio, Catterson, Victoria M., Abdulhadi, Ibrahim F., Garcia, Maria Segovia

    “…Prognostics predictions estimate the remaining useful life (RUL) of assets. This information enables the implementation of condition-based maintenance…”
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    Journal Article
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    Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics by Aizpurua, Jose Ignacio, Catterson, Victoria M., Stewart, Brian G., McArthur, Stephen D. J., Lambert, Brandon, Cross, James G.

    “…Transformers are critical assets for the reliable operation of the power grid. Transformers may fail in service if monitoring models do not identify degraded…”
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    Journal Article
  7. 7

    Modeling and Interpretation of Tidal Turbine Vibration Through Weighted Least Squares Regression by Galloway, Grant S., Catterson, Victoria M., Love, Craig, Robb, Andrew, Fay, Thomas

    “…Tidal power is an emerging technology with great potential to provide a sustainable means of renewable energy in many areas worldwide. However, the nature of…”
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    Journal Article
  8. 8

    Online Conditional Anomaly Detection in Multivariate Data for Transformer Monitoring by Catterson, Victoria M, McArthur, Stephen D J, Moss, Graham

    Published in IEEE transactions on power delivery (01-10-2010)
    “…Retrofitting condition monitoring systems to aging plant can be problematic, since the particular signature of normal behavior will vary from unit to unit…”
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    Journal Article
  9. 9

    Prognostic Modeling Utilizing a High-Fidelity Pressurized Water Reactor Simulator by Mcghee, Mark J., Catterson, Victoria M., Brown, Blair

    “…Within power generation, aging assets and an emphasis on more efficient operation of power systems and improved maintenance decision methods has led to a…”
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    Journal Article
  10. 10

    Enabling Efficient Engineering Processes and Automated Analysis for Power Protection Systems by Hong, Qiteng, Blair, Steven M., Booth, Campbell D., Catterson, Victoria M., Dysko, Adam, Rahman, Tahasin

    Published in IEEE systems journal (01-03-2018)
    “…The reliable operation of power networks depends on the correct configuration of protection systems. These systems involve the coordination of devices across a…”
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    Journal Article
  11. 11

    Embedded Intelligence for Electrical Network Operation and Control by Catterson, V M, Davidson, E M, McArthur, S D J

    Published in IEEE intelligent systems (01-03-2011)
    “…The paper states that integrating multiple types of intelligent, mulit-agent data analysis within a smart grid can pave the way for flexible, extensible, and…”
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    Journal Article
  12. 12

    Identifying Harmonic Attributes From Online Partial Discharge Data by Catterson, V. M., Bahadoorsingh, S., Rudd, S., McArthur, S. D. J., Rowland, S. M.

    Published in IEEE transactions on power delivery (01-07-2011)
    “…Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the…”
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    Journal Article
  13. 13

    An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition Monitoring by Kenyon, Andrew D., Catterson, Victoria M., McArthur, Stephen D. J., Twiddle, John

    “…This paper considers the use of a multiagent system (MAS) incorporating hidden Markov models for the condition monitoring of gas turbine (GT) engines. Hidden…”
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    Journal Article
  14. 14

    Managing Remote Online Partial Discharge Data by Catterson, V.M., McArthur, S., Judd, M.D., Zaher, A.S.

    Published in IEEE transactions on power delivery (01-10-2008)
    “…The volume of data produced by existing partial discharge monitoring systems is often too large for engineers to examine in detail, leading to data being…”
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    Journal Article
  15. 15

    On the use of probabilistic model-checking for the verification of prognostics applications by Aizpurua, Jose Ignacio, Catterson, Victoria M.

    “…Prognostics aims to improve asset availability through intelligent maintenance actions. Up-to-date remaining useful life predictions enable the optimization of…”
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    Conference Proceeding
  16. 16

    Improved Dynamic Dependability Assessment Through Integration With Prognostics by Aizpurua, Jose Ignacio, Catterson, Victoria M., Papadopoulos, Yiannis, Chiacchio, Ferdinando, Manno, Gabriele

    Published in IEEE transactions on reliability (01-09-2017)
    “…The use of average data for dependability assessments results in an outdated system-level dependability estimation, which can lead to incorrect design…”
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    Journal Article
  17. 17

    Investigation into pulse sequence analysis of PD features due to electrical tree growth in epoxy resin by Sheng, Bojie, Catterson, Victoria M., Rowland, Simon M., Iddrissu, Ibrahim

    “…Electrical trees developed using point-plane samples have been investigated under three different voltage conditions: AC, AC with positive DC bias, and AC with…”
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    Conference Proceeding
  18. 18

    Multi-Agent Systems for Power Engineering Applications-Part I: Concepts, Approaches, and Technical Challenges by McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F., Funabashi, T.

    Published in IEEE transactions on power systems (01-11-2007)
    “…This is the first part of a two-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part…”
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    Journal Article
  19. 19

    Multi-Agent Systems for Power Engineering Applications-Part II: Technologies, Standards, and Tools for Building Multi-agent Systems by McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F., Funabashi, T.

    Published in IEEE transactions on power systems (01-11-2007)
    “…This is the second part of a two-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group. Part…”
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    Journal Article
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