Advanced gas-cooled reactor fuel channel bore estimation model

Research output: Contribution to conferencePoster

Abstract

* The main life-limiting factor of an Advanced Gas-Cooled Reactors (AGRs) is the graphite core, as it cannot be repaired or replaced.
* Installation of new monitoring equipment is difficult and expensive, therefore it is important to obtain the maximum amount of information from existing equipment.
* Using the current bore estimation model, for most of the datasets tested, it is possible to convert low detailed monitoring data to produce results that closely match the higher detailed inspection data. refuelling events.

Conference

Conference2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics
CountryCanada
CityToronto
Period9/05/1910/05/19
Internet address

Fingerprint

Gas cooled reactors
Channel estimation
Monitoring
Graphite
Inspection

Keywords

  • bore estimation
  • condition monitoring
  • data analytics
  • machine Learning
  • graphite
  • asset management

Cite this

Young, A., & West, G. (2019). Advanced gas-cooled reactor fuel channel bore estimation model. Poster session presented at 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, Toronto, Canada.
Young, Andrew ; West, Graeme. / Advanced gas-cooled reactor fuel channel bore estimation model. Poster session presented at 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, Toronto, Canada.1 p.
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title = "Advanced gas-cooled reactor fuel channel bore estimation model",
abstract = "* The main life-limiting factor of an Advanced Gas-Cooled Reactors (AGRs) is the graphite core, as it cannot be repaired or replaced.* Installation of new monitoring equipment is difficult and expensive, therefore it is important to obtain the maximum amount of information from existing equipment.* Using the current bore estimation model, for most of the datasets tested, it is possible to convert low detailed monitoring data to produce results that closely match the higher detailed inspection data. refuelling events.",
keywords = "bore estimation, condition monitoring, data analytics, machine Learning, graphite, asset management",
author = "Andrew Young and Graeme West",
year = "2019",
month = "5",
day = "10",
language = "English",
note = "2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics ; Conference date: 09-05-2019 Through 10-05-2019",
url = "http://www.nuclearinnovationinstitute.com/events/innovation-showcase/",

}

Young, A & West, G 2019, 'Advanced gas-cooled reactor fuel channel bore estimation model' 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, Toronto, Canada, 9/05/19 - 10/05/19, .

Advanced gas-cooled reactor fuel channel bore estimation model. / Young, Andrew; West, Graeme.

2019. Poster session presented at 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, Toronto, Canada.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Advanced gas-cooled reactor fuel channel bore estimation model

AU - Young, Andrew

AU - West, Graeme

PY - 2019/5/10

Y1 - 2019/5/10

N2 - * The main life-limiting factor of an Advanced Gas-Cooled Reactors (AGRs) is the graphite core, as it cannot be repaired or replaced.* Installation of new monitoring equipment is difficult and expensive, therefore it is important to obtain the maximum amount of information from existing equipment.* Using the current bore estimation model, for most of the datasets tested, it is possible to convert low detailed monitoring data to produce results that closely match the higher detailed inspection data. refuelling events.

AB - * The main life-limiting factor of an Advanced Gas-Cooled Reactors (AGRs) is the graphite core, as it cannot be repaired or replaced.* Installation of new monitoring equipment is difficult and expensive, therefore it is important to obtain the maximum amount of information from existing equipment.* Using the current bore estimation model, for most of the datasets tested, it is possible to convert low detailed monitoring data to produce results that closely match the higher detailed inspection data. refuelling events.

KW - bore estimation

KW - condition monitoring

KW - data analytics

KW - machine Learning

KW - graphite

KW - asset management

M3 - Poster

ER -

Young A, West G. Advanced gas-cooled reactor fuel channel bore estimation model. 2019. Poster session presented at 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, Toronto, Canada.