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	Prediction of surface temperatures of large oil-immersed power transformers
	Wang Hongyu ; Su Pengsheng ; Wang Xiangheng ; Zhao Bin ; Gong Dongwu
	2010-05-10 ; 2010-05-10
关键词	Practical Theoretical or Mathematical/ least mean squares methods normal distribution parameter estimation power transformers temperature measurement/ oil-immersed power transformers normal surface temperatures prediction model parameters estimation partial least squares method heat transfer predicted deviations normal distribution/ B8350 Transformers and reactors B7320R Thermal variables measurement B0290F Interpolation and function approximation (numerical analysis)
中文摘要	The temperatures in oil-immersed power transformers can increase abnormally during long-term, continuous operation. This paper presents a model to predict the normal surface temperatures of oil-immersed power transformers. The predicted value can then be compared to the measured value to identify abnormal transformer temperatures and improper operating conditions. The model parameters are estimated from field data using the partial least squares method, which overcomes the instabilities of estimated results using the traditional least squares method. Furthermore, the appropriate amount of data needed to estimate the parameters was confirmed from the principle of heat transfer and the statistical characteristic of the mean, variance and normal distribution of the predicted deviations. Analysis of one year of field data verified the accuracy of the predicted temperatures.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/21995]
专题	清华大学
推荐引用方式 GB/T 7714	Wang Hongyu,Su Pengsheng,Wang Xiangheng,et al. Prediction of surface temperatures of large oil-immersed power transformers[J],2010, 2010.
APA	Wang Hongyu,Su Pengsheng,Wang Xiangheng,Zhao Bin,&Gong Dongwu.(2010).Prediction of surface temperatures of large oil-immersed power transformers..
MLA	Wang Hongyu,et al."Prediction of surface temperatures of large oil-immersed power transformers".(2010).

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