Investigation of gas circulator response to load transients in nuclear power plant operation

Research output: Contribution to conferencePaper

Abstract

Gas circulator units are a critical component of the Advanced Gas-cooled Reactor (AGR), one of the nuclear power plant (NPP) designs in current use within the UK. The condition monitoring of these assets is central to the safe and economic operation of the AGRs and is achieved through analysis of vibration data. Due to the dynamic nature of reactor operation, each plant item is subject to a variety of system transients of which engineers are required to identify and reason about with regards to asset health. The AGR design enables low power refueling (LPR) which results in a change in operational state for the gas circulators, with the vibration profile of each unit reacting accordingly. The changing conditions subject to these items during LPR and other such events may impact on the assets. From these assumptions, it is proposed that useful information on gas circulator condition can be determined from the analysis of vibration response to the LPR event. This paper presents an investigation into asset vibration during an LPR. A machine learning classification approach is used in order to define each transient instance and its behavioral features statistically. Classification and reasoning about the regular transients such as the LPR represents the primary stage in modeling higher complexity events for advanced event driven diagnostics, which may provide an enhancement to the current methodology, which uses alarm boundary limits.

Conference

Conference8th International Topical Meeting on Nuclear Plant Instrumentation and Control and Human Machine Interface Technologies
CountryUnited States
CitySan Diego
Period22/07/1226/07/12

Fingerprint

Gas cooled reactors
Nuclear power plants
Gases
Reactor operation
Condition monitoring
Learning systems
Health
Engineers
Economics

Keywords

  • gas circulator
  • response
  • load transients
  • nuclear power
  • investigation

Cite this

Costello, J., West, G., McArthur, S., & Campbell, G. (2012). Investigation of gas circulator response to load transients in nuclear power plant operation. Paper presented at 8th International Topical Meeting on Nuclear Plant Instrumentation and Control and Human Machine Interface Technologies, San Diego, United States.
Costello, Jason ; West, Graeme ; McArthur, Stephen ; Campbell, Graeme. / Investigation of gas circulator response to load transients in nuclear power plant operation. Paper presented at 8th International Topical Meeting on Nuclear Plant Instrumentation and Control and Human Machine Interface Technologies, San Diego, United States.10 p.
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Costello, J, West, G, McArthur, S & Campbell, G 2012, 'Investigation of gas circulator response to load transients in nuclear power plant operation' Paper presented at 8th International Topical Meeting on Nuclear Plant Instrumentation and Control and Human Machine Interface Technologies, San Diego, United States, 22/07/12 - 26/07/12, .

Investigation of gas circulator response to load transients in nuclear power plant operation. / Costello, Jason; West, Graeme; McArthur, Stephen; Campbell, Graeme.

2012. Paper presented at 8th International Topical Meeting on Nuclear Plant Instrumentation and Control and Human Machine Interface Technologies, San Diego, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Investigation of gas circulator response to load transients in nuclear power plant operation

AU - Costello, Jason

AU - West, Graeme

AU - McArthur, Stephen

AU - Campbell, Graeme

PY - 2012/7/22

Y1 - 2012/7/22

N2 - Gas circulator units are a critical component of the Advanced Gas-cooled Reactor (AGR), one of the nuclear power plant (NPP) designs in current use within the UK. The condition monitoring of these assets is central to the safe and economic operation of the AGRs and is achieved through analysis of vibration data. Due to the dynamic nature of reactor operation, each plant item is subject to a variety of system transients of which engineers are required to identify and reason about with regards to asset health. The AGR design enables low power refueling (LPR) which results in a change in operational state for the gas circulators, with the vibration profile of each unit reacting accordingly. The changing conditions subject to these items during LPR and other such events may impact on the assets. From these assumptions, it is proposed that useful information on gas circulator condition can be determined from the analysis of vibration response to the LPR event. This paper presents an investigation into asset vibration during an LPR. A machine learning classification approach is used in order to define each transient instance and its behavioral features statistically. Classification and reasoning about the regular transients such as the LPR represents the primary stage in modeling higher complexity events for advanced event driven diagnostics, which may provide an enhancement to the current methodology, which uses alarm boundary limits.

AB - Gas circulator units are a critical component of the Advanced Gas-cooled Reactor (AGR), one of the nuclear power plant (NPP) designs in current use within the UK. The condition monitoring of these assets is central to the safe and economic operation of the AGRs and is achieved through analysis of vibration data. Due to the dynamic nature of reactor operation, each plant item is subject to a variety of system transients of which engineers are required to identify and reason about with regards to asset health. The AGR design enables low power refueling (LPR) which results in a change in operational state for the gas circulators, with the vibration profile of each unit reacting accordingly. The changing conditions subject to these items during LPR and other such events may impact on the assets. From these assumptions, it is proposed that useful information on gas circulator condition can be determined from the analysis of vibration response to the LPR event. This paper presents an investigation into asset vibration during an LPR. A machine learning classification approach is used in order to define each transient instance and its behavioral features statistically. Classification and reasoning about the regular transients such as the LPR represents the primary stage in modeling higher complexity events for advanced event driven diagnostics, which may provide an enhancement to the current methodology, which uses alarm boundary limits.

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KW - response

KW - load transients

KW - nuclear power

KW - investigation

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Costello J, West G, McArthur S, Campbell G. Investigation of gas circulator response to load transients in nuclear power plant operation. 2012. Paper presented at 8th International Topical Meeting on Nuclear Plant Instrumentation and Control and Human Machine Interface Technologies, San Diego, United States.