Search Results - "Catterson, Victoria"
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Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants
Published in IEEE transactions on industrial electronics (1982) (01-06-2019)“…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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Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing
Published in IEEE transactions on dielectrics and electrical insulation (01-04-2018)“…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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On the use of dynamic reliability for an accurate modelling of renewable power plants
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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Drivers of mortality in COVID ARDS depend on patient sub-type
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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A Model-Based Hybrid Approach for Circuit Breaker Prognostics Encompassing Dynamic Reliability and Uncertainty
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-09-2018)“…Prognostics predictions estimate the remaining useful life (RUL) of assets. This information enables the implementation of condition-based maintenance…”
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Uncertainty-Aware Fusion of Probabilistic Classifiers for Improved Transformer Diagnostics
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-01-2021)“…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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Modeling and Interpretation of Tidal Turbine Vibration Through Weighted Least Squares Regression
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-04-2020)“…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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Online Conditional Anomaly Detection in Multivariate Data for Transformer Monitoring
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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Prognostic Modeling Utilizing a High-Fidelity Pressurized Water Reactor Simulator
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-05-2018)“…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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Enabling Efficient Engineering Processes and Automated Analysis for Power Protection Systems
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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Embedded Intelligence for Electrical Network Operation and Control
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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Identifying Harmonic Attributes From Online Partial Discharge Data
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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An Agent-Based Implementation of Hidden Markov Models for Gas Turbine Condition Monitoring
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-02-2014)“…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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Managing Remote Online Partial Discharge Data
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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On the use of probabilistic model-checking for the verification of prognostics applications
Published in 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) (01-12-2015)“…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 -
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Improved Dynamic Dependability Assessment Through Integration With Prognostics
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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Investigation into pulse sequence analysis of PD features due to electrical tree growth in epoxy resin
Published in 2016 IEEE International Conference on Dielectrics (ICD) (01-07-2016)“…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 -
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Multi-Agent Systems for Power Engineering Applications-Part I: Concepts, Approaches, and Technical Challenges
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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Multi-Agent Systems for Power Engineering Applications-Part II: Technologies, Standards, and Tools for Building Multi-agent Systems
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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C-REACTIVE PROTEIN AS A BIOMARKER FOR IMPROVED EFFICACY OF LENZILUMAB IN PATIENTS WITH COVID-19: RESULTS FROM THE LIVE-AIR TRIAL
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