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Volumn 46, Issue 3-4, 2005, Pages 176-189

Lessons learned from the U.S. nuclear power plant on-line monitoring programs

Author keywords

Empirical models; Fault detection and isolation; On line monitoring; Sensor calibration verification

Indexed keywords

EMPIRICAL MODELS; FAULT DETECTION AND ISOLATION; ON LINE MONITORING; SENSOR CALIBRATION VERIFICATION;

EID: 23344442258     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2005.03.003     Document Type: Article
Times cited : (37)

References (40)
  • 8
    • 23344440247 scopus 로고    scopus 로고
    • On-Line Monitoring Cost Benefit Guide
    • EPRI Palo Alto, CA: 1006833
    • EPRI On-Line Monitoring Cost Benefit Guide Final Report 2003 EPRI Palo Alto, CA: 1006833
    • (2003) Final Report
  • 10
    • 23344442609 scopus 로고    scopus 로고
    • On-Line Calibration Monitoring of Process Instrumentation in Power Plants
    • Atlanta, Georgia, June 21, 1999
    • Fantoni P. On-Line Calibration Monitoring of Process Instrumentation in Power Plants EPRI Plant Maintenance Conference Atlanta, Georgia, June 21, 1999 1999
    • (1999) EPRI Plant Maintenance Conference
    • Fantoni, P.1
  • 13
    • 23344449842 scopus 로고    scopus 로고
    • Stochastic Regularization of Feedwater Flow Rate Evaluation for Venturi the Meter Fouling Problem in Nuclear Power Plants
    • Gribok A.V., J.W. Hines, I Attieh, and R.E. Uhrig Stochastic Regularization of Feedwater Flow Rate Evaluation for Venturi the Meter Fouling Problem in Nuclear Power Plants Inverse Problems in Engineering 2000
    • (2000) Inverse Problems in Engineering
    • Gribok, A.V.1    Hines, J.W.2    Attieh, I.3    Uhrig, R.E.4
  • 14
    • 0035312725 scopus 로고    scopus 로고
    • Regularization of Feedwater Flow Rate Evaluation for the Venturi Meter Fouling Problems in Nuclear Power Plants
    • April 2001 Gribok A.V., J.W. Hines, I Attieh, and R.E. Uhrig Regularization of Feedwater Flow Rate Evaluation for the Venturi Meter Fouling Problems in Nuclear Power Plants Nuclear Technology Vol. 134 No. 1 2001
    • (2001) Nuclear Technology , vol.134 , Issue.1
    • Gribok, A.V.1    Hines, J.W.2    Attieh, I.3    Uhrig, R.E.4
  • 15
    • 8844249540 scopus 로고    scopus 로고
    • Regularization of Ill-Posed Surveillance and Diagnostic Measurements
    • Da Ruan P. Fantoni Springer Antwerpen, Belgium
    • Gribok A.V., J.W. Hines, A. Urmanov, and R.E. Uhrig Regularization of Ill-Posed Surveillance and Diagnostic Measurements Da Ruan P. Fantoni Power Plant Surveillance and Diagnostics 2002 Springer Antwerpen, Belgium
    • (2002) Power Plant Surveillance and Diagnostics
    • Gribok, A.V.1    Hines, J.W.2    Urmanov, A.3    Uhrig, R.E.4
  • 18
  • 20
    • 23344450986 scopus 로고
    • Similarity Based Regression: Applied Advanced Pattern Recognition for Power Plant Analysis
    • E.J. Hansen M.B. Caudill Baltimore, Maryland
    • Hansen E.J., and M.B. Caudill Similarity Based Regression: Applied Advanced Pattern Recognition for Power Plant Analysis E.J. Hansen M.B. Caudill 1994 EPRI-ASME Heat Rate Improvement Conference Baltimore, Maryland 1994
    • (1994) 1994 EPRI-ASME Heat Rate Improvement Conference
    • Hansen, E.J.1    Caudill, M.B.2
  • 21
    • 0031198473 scopus 로고    scopus 로고
    • Signal Validation Using an Adaptive Neural Fuzzy Inference System
    • August Hines J.W., and D.J. Wrest Signal Validation Using an Adaptive Neural Fuzzy Inference System Nuclear Technology 1997 181 193
    • (1997) Nuclear Technology , pp. 181-193
    • Hines, J.W.1    Wrest, D.J.2
  • 22
    • 0031996958 scopus 로고    scopus 로고
    • Use of Autoassociative Neural Networks for Signal Validation
    • Kluwer Academic Press
    • February Hines J.W., and R.E. Uhrig Use of Autoassociative Neural Networks for Signal Validation Journal of Intelligent and Robotic Systems 1998 Kluwer Academic Press 143 154
    • (1998) Journal of Intelligent and Robotic Systems , pp. 143-154
    • Hines, J.W.1    Uhrig, R.E.2
  • 27
    • 23344449044 scopus 로고
    • Pattern Recognition Software for Plant Surveillance
    • Mott Young, and R.W. King Pattern Recognition Software for Plant Surveillance US DOE Report 1987
    • (1987) US DOE Report
    • Young, M.1    King, R.W.2
  • 28
    • 0026853320 scopus 로고
    • Nonlinear PLS Modelling Using Neural Networks
    • Qin S.J., and T.J. McAvoy Nonlinear PLS Modelling Using Neural Networks Computers in Chemical Engineering vol. 16 n. 4 1992 379 391
    • (1992) Computers in Chemical Engineering , vol.16 , Issue.4 , pp. 379-391
    • Qin, S.J.1    McAvoy, T.J.2
  • 29
    • 8844224316 scopus 로고    scopus 로고
    • Nonlinear Partial Least Squares Modeling for Instrument Surveillance and Calibration Verification
    • Knoxville, TN
    • Rasmussen B., J.W. Hines, and R.E. Uhrig Nonlinear Partial Least Squares Modeling for Instrument Surveillance and Calibration Verification Proc. Maintenance and Reliability Conference Knoxville, TN 2000
    • (2000) Proc. Maintenance and Reliability Conference
    • Rasmussen, B.1    Hines, J.W.2    Uhrig, R.E.3
  • 30
    • 32044474309 scopus 로고    scopus 로고
    • An Applied Comparison of the Prediction Intervals of Common Empirical Modeling Strategies
    • Brandon Rasmussen Andrei Gribok J. Wesley Hines Knoxville, TN
    • Rasmussen B., J.W. Hines, and A.V. Gribok An Applied Comparison of the Prediction Intervals of Common Empirical Modeling Strategies Brandon Rasmussen Andrei Gribok J. Wesley Hines Proc. Maintenance and Reliability Conference Knoxville, TN 2003
    • (2003) Proc. Maintenance and Reliability Conference
    • Rasmussen, B.1    Hines, J.W.2    Gribok, A.V.3
  • 31
    • 8844286286 scopus 로고    scopus 로고
    • Prediction Interval Estimation Techniques for Empirical Modeling Strategies and their Applications to Signal Validation Tasks
    • Nuclear Engineering Department, The University of Tennessee
    • Rasmussen B. Prediction Interval Estimation Techniques for Empirical Modeling Strategies and their Applications to Signal Validation Tasks Ph.D. dissertation 2003 Nuclear Engineering Department, The University of Tennessee
    • (2003) Ph.D. Dissertation
    • Rasmussen, B.1
  • 34
    • 0021820986 scopus 로고
    • Sensor Failure Detection and Estimation
    • Upadhyaya B.R. Sensor Failure Detection and Estimation Nuclear Safety 1985
    • (1985) Nuclear Safety
    • Upadhyaya, B.R.1
  • 35
    • 23344445740 scopus 로고
    • Development and Testing of an Integrated Signal Validation System for Nuclear Power Plants
    • Upadhyaya B.R., and K. Holbert Development and Testing of an Integrated Signal Validation System for Nuclear Power Plants DOE Contract DE-AC02-86NE37959 1989
    • (1989) DOE Contract DE-AC02-86NE37959
    • Upadhyaya, B.R.1    Holbert, K.2
  • 36
    • 0026817991 scopus 로고
    • Application of Neural Networks for Sensor Validation and Plant Monitoring
    • February, 1992 Upadhyaya B.R., and E. Eryurek Application of Neural Networks for Sensor Validation and Plant Monitoring Nuclear Technology vol. 97 1992 170 176
    • (1992) Nuclear Technology , vol.97 , pp. 170-176
    • Upadhyaya, B.R.1    Eryurek, E.2
  • 37
    • 0000090155 scopus 로고
    • Sequential Tests of Statistical Hypotheses
    • Wald A Sequential Tests of Statistical Hypotheses Annals of Mathematical Statistics Vol. 16 1945 117 186
    • (1945) Annals of Mathematical Statistics , vol.16 , pp. 117-186
    • Wald, A.1
  • 39
    • 23344451643 scopus 로고    scopus 로고
    • Uncertainty Analysis for Multivariate State Estimation in Safety Critical and Mission Critical Maintenance Applications
    • Knoxville, TN
    • Zavaljevski N, and K. Gross Uncertainty Analysis for Multivariate State Estimation in Safety Critical and Mission Critical Maintenance Applications Proc. Maintenance and Reliability Conference Knoxville, TN 2000
    • (2000) Proc. Maintenance and Reliability Conference
    • Zavaljevski, N.1    Gross, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.