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Tytuł artykułu

New Mixed Weibull Probability Distribution Model for Reliability Evaluation of Paper-oil Insulation

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Ocena niezawodności izolacji papierowo-olejowej metodą opartą na modelu rozkładu prawdopodobieństwa Weibulla
Języki publikacji
EN
Abstrakty
EN
This paper presents a new mixed Weibull probability distribution model for reliability evaluation of the paper-oil insulation. The breakdown voltage, furfural, and six other characteristic parameters were chosen to reflect the reliability of paper-oil insulation. The new mixed Weibull probability distribution model was established to evaluate the reliability of the paper-oil insulation. Reliability predictions of the paper-oil insulation at different times verified the feasibility of the new mixed Weibull probability distribution model.
PL
W artykule przedstawiono metodę budowy modelu rozkładu prawdopodobieństwa Weibulla, w wykorzystaniu do oceny niezawodności izolacji papierowo-olejowej. Wykorzystywanych jest osiem parametrów dotyczących niezawodności. Wykonane przewidywanie niezawodności dla różnych odległości czasowych potwierdzają skuteczność metody.
Rocznik
Strony
202--206
Opis fizyczny
Bibliogr. 22 poz., schem., tab., wykr.
Twórcy
autor
  • Chongqing University
autor
  • Chongqing University
autor
  • Chongqing University
autor
  • Chongqing University
  • Mississippi State University
Bibliografia
  • [1] Y. Sun, P. Wang, L. Cheng, and H. Liu, Operational reliability assessment of power systems considering conditiondependent failure rate, IET Gener. Transm. Distrib.,4 (2010), No.1, 60–72
  • [2] Lijun Yang, Ruijin Liao, Caixin Sun and Huigang Sun, Influence of natural ester on thermal aging characteristics of oil–paper in power transformers, Euro. Trans. Electr. Power, 20 (2010), 1223–1236.
  • [3] Jian Li, Ruijin Liao, S. Grzybowski, Lijun Yang, Oil-Paper Aging Evaluation by Fuzzy Clustering and Factor Analysis to Statistical Parameters of Partial Discharges, IEEE Transactions on Dielectrics and Electrical Insulation, 17 (2010), 756-763
  • [4] CIGRE TF D1.01.10, Aging of cellulose in mineral-oil insulated transformers, Brochure No.323 Paris, 2007.
  • [5] Lars E. L., Walter H., Dag L., and Terence J. P., Aging of Oil- Impregnated Paper in Power Transformers, IEEE Trans. Power Delivery, 19(2001), No.1, 230-239
  • [6] Dejan Susa, Matti Lehtonen, and Hasse Nordman, Dynamic thermal modeling of power transformers, IEEE Transactions on Power Delivery, 20 (2005),No.1, 197-204
  • [7] Lida Jauregui-Rivera, Xiaolin Mao, and Daniel J. Tylavsky, Improving reliability assessment of transformer thermal top-oil model parameters estimated from measured data , IEEE Transactions on Power Delivery, 24 (2009), No. 1, 169-176
  • [8] Jamal A., and Satish K., Extended Weibull type distribution and finite mixture of distributions, Statistical Methodology, 3(2006), No.3, 224–233
  • [9] Zhang L., Life Distribution Analysis of Electrical Equipment, Master thesis, Shandong University, 2005
  • [10] Xiaoyan Lu, Shan Lu, Reliability Assessment Based on the kth Ordered Experiment Life of Weibull Distribution, Machine Design and Research, 21 (2005), No. 6, 10-12
  • [11] Chin-Diew L. and Min X., Stochastic Ageing and Dependence for Reliability, Springer Science+ Business Media, Inc., New York, Ch.5, 139-166, 2006
  • [12] Joyce C. F., A Weibull model to characterize lifetimes of aluminum alloy electrical wire connections , IEEE transactions on components, hybrids and manufacturing technology, 14 (1991), No. 1, 124-133
  • [13] F. H. Steiger, Practical applications of the Weibull distribution function, Chem. Tech., 1971, 225-231
  • [14] Renyan Jiang, The characteristics, parameter estimation and application of Weibull model , Science Press, Beijng, 1998
  • [15] Norman P. Archer, A computational technique for maximumlikelihood estimation with weibull models , IEEE Transactions on Reliability, 29 (1980), No. 1, 57-62
  • [16] W. Nelson, Applied Life Data Analysis, Toronto, Canada: Wiley, 1982
  • [17] Lijun Yang, Ruijin Liao, Caixin Sun, et al, Using multivariate statistical method to recognize different aging stages of oilpaper, Proceedings of the CSEE, 25 (2005), No. 18, 151-156
  • [18] Chendong X., Qiming F., To estimate the aging status of transformers by furfural concentration in the oil, CIGRE study committee 33 Colloquium, leningrad, Moscow,1991
  • [19] Ali M., Eley C., Emsley A. M., et al, Measuring and understanding the ageing of kraft insulating paper in power transformers, IEEE Electrical Insulation Magazine, 12 (1996), No. 3, 28-34
  • [20] J. Ma, Z. P. Fan and L. H. Huang, A subjective and objective integrated approach to determine attribute weights, European Journal of Operational Research, 112 (1999), No. 2, 397-404
  • [21] Y. X. Liao, Study on the Comprehensive Assessment Model of Transformer Operation Condition. Mater Dissertation of Chongqing University, 2006
  • [22] T.M. Lindquist, L. Bertling, and R. Eriksson, Circuit breaker failure data and reliability modeling, IET Gener. Transm. Distrib., 2(2008), No.6, 813–820
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c3edfb28-203e-453b-851d-54d1e46f6508
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