A structured methodology for intelligent system selection in nuclear power industry applications

L.A. Martin, J.A. Steele, S.D.J. McArthur, A.J. Moyes, J.R. McDonald, D. Howie, R. Elrick

Research output: Contribution to conferencePaper

Abstract

As the number of successful implementations of intelligent systems (ISs) to perform nonsafety related operations increases, so the desire has grown to assess the possibility for use of ISs to support safety related functions. This interest has been recognised by the nuclear industry who wish to determine if ISs can be successfully and reliably used for performing condition monitoring of critical data. Therefore, in order to test the applicability of ISs in the nuclear domain, it is necessary to create a structured development methodology that explains why and how development decisions have been made. At the top level of this IS development methodology, it has consequently been necessary to develop a generic IS selection methodology which can be applied to any relevant problem. This paper has presented a methodology, to aid a decision maker in choosing an appropriate intelligent system as the solution to a given problem. This methodology provides a formal framework for justification of the decisions made and provides the facility for traceability and subsequent justification of these decisions. This is therefore useful for nuclear power software applications where it is desirable to make well-planned and justifiable decisions when the IS is to be used in safety-related applications
Original languageEnglish
Pages44-48
Number of pages4
DOIs
Publication statusPublished - Jul 2001
EventLarge Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. - , United Kingdom
Duration: 11 Jul 200113 Jul 2001

Conference

ConferenceLarge Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01.
CountryUnited Kingdom
Period11/07/0113/07/01

Fingerprint

Intelligent systems
Nuclear energy
Industry
Nuclear industry
Condition monitoring
Application programs

Keywords

  • structured methodology
  • intelligent system selection
  • nuclear power industry
  • applications

Cite this

Martin, L. A., Steele, J. A., McArthur, S. D. J., Moyes, A. J., McDonald, J. R., Howie, D., & Elrick, R. (2001). A structured methodology for intelligent system selection in nuclear power industry applications. 44-48. Paper presented at Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. , United Kingdom. https://doi.org/10.1109/LESCPE.2001.941624
Martin, L.A. ; Steele, J.A. ; McArthur, S.D.J. ; Moyes, A.J. ; McDonald, J.R. ; Howie, D. ; Elrick, R. / A structured methodology for intelligent system selection in nuclear power industry applications. Paper presented at Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. , United Kingdom.4 p.
@conference{dee292175026402eb87ec0ded98e8d02,
title = "A structured methodology for intelligent system selection in nuclear power industry applications",
abstract = "As the number of successful implementations of intelligent systems (ISs) to perform nonsafety related operations increases, so the desire has grown to assess the possibility for use of ISs to support safety related functions. This interest has been recognised by the nuclear industry who wish to determine if ISs can be successfully and reliably used for performing condition monitoring of critical data. Therefore, in order to test the applicability of ISs in the nuclear domain, it is necessary to create a structured development methodology that explains why and how development decisions have been made. At the top level of this IS development methodology, it has consequently been necessary to develop a generic IS selection methodology which can be applied to any relevant problem. This paper has presented a methodology, to aid a decision maker in choosing an appropriate intelligent system as the solution to a given problem. This methodology provides a formal framework for justification of the decisions made and provides the facility for traceability and subsequent justification of these decisions. This is therefore useful for nuclear power software applications where it is desirable to make well-planned and justifiable decisions when the IS is to be used in safety-related applications",
keywords = "structured methodology, intelligent system selection, nuclear power industry, applications",
author = "L.A. Martin and J.A. Steele and S.D.J. McArthur and A.J. Moyes and J.R. McDonald and D. Howie and R. Elrick",
year = "2001",
month = "7",
doi = "10.1109/LESCPE.2001.941624",
language = "English",
pages = "44--48",
note = "Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. ; Conference date: 11-07-2001 Through 13-07-2001",

}

Martin, LA, Steele, JA, McArthur, SDJ, Moyes, AJ, McDonald, JR, Howie, D & Elrick, R 2001, 'A structured methodology for intelligent system selection in nuclear power industry applications' Paper presented at Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. , United Kingdom, 11/07/01 - 13/07/01, pp. 44-48. https://doi.org/10.1109/LESCPE.2001.941624

A structured methodology for intelligent system selection in nuclear power industry applications. / Martin, L.A.; Steele, J.A.; McArthur, S.D.J.; Moyes, A.J.; McDonald, J.R.; Howie, D.; Elrick, R.

2001. 44-48 Paper presented at Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. , United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - A structured methodology for intelligent system selection in nuclear power industry applications

AU - Martin, L.A.

AU - Steele, J.A.

AU - McArthur, S.D.J.

AU - Moyes, A.J.

AU - McDonald, J.R.

AU - Howie, D.

AU - Elrick, R.

PY - 2001/7

Y1 - 2001/7

N2 - As the number of successful implementations of intelligent systems (ISs) to perform nonsafety related operations increases, so the desire has grown to assess the possibility for use of ISs to support safety related functions. This interest has been recognised by the nuclear industry who wish to determine if ISs can be successfully and reliably used for performing condition monitoring of critical data. Therefore, in order to test the applicability of ISs in the nuclear domain, it is necessary to create a structured development methodology that explains why and how development decisions have been made. At the top level of this IS development methodology, it has consequently been necessary to develop a generic IS selection methodology which can be applied to any relevant problem. This paper has presented a methodology, to aid a decision maker in choosing an appropriate intelligent system as the solution to a given problem. This methodology provides a formal framework for justification of the decisions made and provides the facility for traceability and subsequent justification of these decisions. This is therefore useful for nuclear power software applications where it is desirable to make well-planned and justifiable decisions when the IS is to be used in safety-related applications

AB - As the number of successful implementations of intelligent systems (ISs) to perform nonsafety related operations increases, so the desire has grown to assess the possibility for use of ISs to support safety related functions. This interest has been recognised by the nuclear industry who wish to determine if ISs can be successfully and reliably used for performing condition monitoring of critical data. Therefore, in order to test the applicability of ISs in the nuclear domain, it is necessary to create a structured development methodology that explains why and how development decisions have been made. At the top level of this IS development methodology, it has consequently been necessary to develop a generic IS selection methodology which can be applied to any relevant problem. This paper has presented a methodology, to aid a decision maker in choosing an appropriate intelligent system as the solution to a given problem. This methodology provides a formal framework for justification of the decisions made and provides the facility for traceability and subsequent justification of these decisions. This is therefore useful for nuclear power software applications where it is desirable to make well-planned and justifiable decisions when the IS is to be used in safety-related applications

KW - structured methodology

KW - intelligent system selection

KW - nuclear power industry

KW - applications

U2 - 10.1109/LESCPE.2001.941624

DO - 10.1109/LESCPE.2001.941624

M3 - Paper

SP - 44

EP - 48

ER -

Martin LA, Steele JA, McArthur SDJ, Moyes AJ, McDonald JR, Howie D et al. A structured methodology for intelligent system selection in nuclear power industry applications. 2001. Paper presented at Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. , United Kingdom. https://doi.org/10.1109/LESCPE.2001.941624