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Volumn , Issue , 2008, Pages 663-669

An on-line calibration monitoring technique using support vector regression and principal component analysis

Author keywords

[No Author keywords available]

Indexed keywords

FAULTY SENSOR; HYPERPARAMETERS; MONITORING TECHNIQUES; ON-LINE CALIBRATION; OPTIMAL VALUES; PLANT DATA; POWER GENERATION SYSTEMS; PRINCIPAL COMPONENTS; RESPONSE SURFACE METHODOLOGY; SAFE OPERATION; SENSOR CALIBRATION; SENSOR PERFORMANCE; SENSOR SIGNALS; SENSOR VALIDATION SYSTEMS; SUPPORT VECTOR REGRESSIONS;

EID: 70449575902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2008.192     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 0026817991 scopus 로고
    • Application of neural networks for sensor validation and plant monitoring
    • February 1992
    • Upadhyaya, B. R., and E. Eryurek (1992), "Application of Neural Networks for Sensor Validation and Plant Monitoring", Nuclear Technology, 97, 170-176 (February 1992).
    • (1992) Nuclear Technology , vol.97 , pp. 170-176
    • Upadhyaya, B.R.1    Eryurek, E.2
  • 3
    • 34547419173 scopus 로고    scopus 로고
    • Performance comparison of variable selection and grouping algorithms
    • Wegerich, S. (2002), "Performance Comparison of Variable Selection and Grouping Algorithms", Technical Report, SmartSignal Corp.
    • (2002) Technical Report, SmartSignal Corp.
    • Wegerich, S.1
  • 4
    • 4644303673 scopus 로고    scopus 로고
    • A Neuro-Fuzzy model applied to full range signal validation of PWR nuclear power plant data
    • Antwerpen, Belgium
    • Fantoni, P., S. Figedy, and A. Racz (1998), "A Neuro- Fuzzy Model Applied to Full Range Signal Validation of PWR Nuclear Power Plant Data", FLINS-98, Antwerpen, Belgium.
    • (1998) FLINS-98
    • Fantoni, P.1    Figedy, S.2    Racz, A.3
  • 7
    • 34047139165 scopus 로고    scopus 로고
    • Support vector machines for nuclear reactor state estimation
    • May 7-11, Pittsburgh, USA
    • N. Zavaljevski and K. C. Gross. "Support Vector Machines for Nuclear Reactor State Estimation", ANS International Topical Meeting May 7-11, 2000, Pittsburgh, USA.
    • (2000) ANS International Topical Meeting
    • Zavaljevski, N.1    Gross, K.C.2
  • 8
    • 34547344673 scopus 로고    scopus 로고
    • Use of kernel based techniques for sensor validation in nuclear power plants
    • Washington, DC, November
    • A. V. Gribok, J. W. Hines, R. E. Uhrig. "Use of Kernel Based Techniques For Sensor Validation In Nuclear Power Plants", NPIC&HMIT 2000, Washington, DC, November, 2000.
    • (2000) NPIC&HMIT 2000
    • Gribok, A.V.1    Hines, J.W.2    Uhrig, R.E.3
  • 10
    • 37249035184 scopus 로고    scopus 로고
    • Simultaneously prediction of network traffic flow based on PCA-SVR
    • Xuexiang Jin, Yi Zhang, and Danya Yao. "Simultaneously Prediction of Network Traffic Flow Based on PCA-SVR", LNCS 4492, pp. 1022-1031, 2007.
    • (2007) LNCS 4492 , pp. 1022-1031
    • Jin, X.1    Zhang, Y.2    Yao, D.3
  • 11
    • 33847148421 scopus 로고    scopus 로고
    • Modeling of temperature-frequency correlation using combined principal component analysis and support vector regression technique
    • march/April
    • X. G. Hua, Y. Q. Ni, J. M. Ko, F. ASCE and K. Y. Wong. "Modeling of Temperature-Frequency Correlation Using Combined Principal Component Analysis and Support Vector Regression Technique", journal of computing in civil engineering march/April 2007, 122-135.
    • (2007) Journal of Computing in Civil Engineering , pp. 122-135
    • Hua, X.G.1    Ni, Y.Q.2    Ko, J.M.3    Asce, F.4    Wong, K.Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.