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Volumn , Issue , 2004, Pages 70-73

On-line monitoring of temperature in power transformers using optimal linear combination of ANNs

Author keywords

ANN; Hot Spot Temperature; Optimal Combination; Prediction Accuracy; Top Oil Temperature

Indexed keywords

ELECTRIC CONDUCTANCE; INSULATION; MONITORING; NEURAL NETWORKS; ONLINE SYSTEMS; STANDBY POWER SYSTEMS;

EID: 14844323119     PISSN: 01642006     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (10)
  • 1
    • 7244224851 scopus 로고    scopus 로고
    • Estimation of the Hottest Spot Temperature (HST) in power transformers considering thermal inhomogeniety of the windings
    • in press
    • M K Pradhan and T S Ramu "Estimation of the Hottest Spot Temperature (HST) in Power Transformers Considering Thermal Inhomogeniety of the Windings" IEEE Trans. Power Delivery (in press).
    • IEEE Trans. Power Delivery
    • Pradhan, M.K.1    Ramu, T.S.2
  • 2
    • 0030835196 scopus 로고    scopus 로고
    • An improved tansfomer TOT modeling for use in an on line monitoring and diagnostic system
    • Jan
    • B.C.Lesieutre, W.H.Hagman, J.L.Kirtley, "An improved tansfomer TOT modeling for use in an on line monitoring and diagnostic system", IEEE tran. on Power Delivery, vol.12 no.1, pp 249-256, Jan 1997.
    • (1997) IEEE Tran. on Power Delivery , vol.12 , Issue.1 , pp. 249-256
    • Lesieutre, B.C.1    Hagman, W.H.2    Kirtley, J.L.3
  • 4
    • 0034271495 scopus 로고    scopus 로고
    • Transformer top oil modeling and simulation
    • Oct
    • Qing He, Jennie Si, Daniel J.Tylavsky " Transformer Top Oil Modeling and Simulation", IEEE tran. Ind. App., vol.36 no.5, pp 1219-1225, Oct 2000.
    • (2000) IEEE Tran. Ind. App. , vol.36 , Issue.5 , pp. 1219-1225
    • He, Q.1    Si, J.2    Daniel, J.T.3
  • 5
    • 0034289922 scopus 로고    scopus 로고
    • Prediction TOT for transformers using NN
    • Oct
    • Qing He, Jennie Si, Daniel J.Tylavsky "Prediction TOT for Transformers using NN", IEEE Tran. PWRD, vol. 15 no.4,pp 1205-1211, Oct 2000.
    • (2000) IEEE Tran. PWRD , vol.15 , Issue.4 , pp. 1205-1211
    • He, Q.1    Si, J.2    Daniel, J.T.3
  • 7
    • 0030702721 scopus 로고    scopus 로고
    • Gauss-newton approximation to bayesian learning
    • F.D. Foresee, M Hagan "Gauss-Newton Approximation to Bayesian Learning", IEEE Proc. of Conf. on ANN, Vol-4, pp.1930-1935, 1997
    • (1997) IEEE Proc. of Conf. on ANN , vol.4 , pp. 1930-1935
    • Foresee, F.D.1    Hagan, M.2
  • 8
    • 0029304867 scopus 로고
    • Improving model accuracy using optimal linear combinations of trained neural networks
    • Sherif Hashem Bruce Schmeiser "Improving Model Accuracy using Optimal Linear Combinations of Trained Neural Networks", IEEE Transactions on Neural Networks,no-6 pp.792-794 1992
    • (1992) IEEE Transactions on Neural Networks , Issue.6 , pp. 792-794
    • Schmeiser, S.H.B.1
  • 9
    • 0033692270 scopus 로고    scopus 로고
    • Sources of error in substation distribution transformers dynamic modeling
    • Jan
    • Daniel J.Tylavsky, Qing He, A McCulla, J R Hunt "Sources of Error in Substation Distribution Transformers Dynamic Modeling", IEEE tran. on Power Delivery, vol.15 no.1, pp 178-185, Jan 2000.
    • (2000) IEEE Tran. on Power Delivery , vol.15 , Issue.1 , pp. 178-185
    • Daniel, J.T.1    He, Q.2    McCulla, A.3    Hunt, J.R.4
  • 10
    • 0037085114 scopus 로고    scopus 로고
    • Understanding modeling processes using combination of trained neural networks
    • July
    • V. Mani and S N Omkar "Understanding Modeling Processes using Combination of trained neural networks", Taylor & Francis: Int. jor. of production researchJuly 2002, Vol-40, No-3, pp.547-559
    • (2002) Taylor & Francis: Int. Jor. of Production Research , vol.40 , Issue.3 , pp. 547-559
    • Mani, V.1    Omkar, S.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.