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Comparing Parameter Estimation Techniques for an Electrical Power Transformer Oil Temperature Prediction Model

机译：电力变压器油温预测模型参数估计技术比较

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This paper examines various sources of error in MIT's improved top oil temperature rise over ambient temperature model and estimation process. The sources of error are the current parameter estimation technique, quantization noise, and post-processing of the transformer data. Results from this paper will show that an output error parameter estimation technique should be selected to replace the current least squares estimation technique. The output error technique obtained accurate predictions of transformer behavior, revealed the best error covariance, obtained consistent parameter estimates, and provided for valid and sensible parameters. This paper will also show that the output error technique should be used to minimize errors attributed to post-processing (decimation) of the transformer data. Models used in this paper are validated using data from a large transformer in service.

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作者
Morris, A. T.;
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年度 1999
页码 1-34
总页数 34
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Parameter identification; Noise(Sound); Transformers; Ambient temperature; Measurement; Mathematical models; Parameterization; Estimating; Error analysis;

机译：参数识别;噪声（声音）;变压器;环境温度;测量;数学模型;参数化;估算;误差分析;

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8. Comparing Parameter Estimation Techniques for an Electrical Power Transformer Oil Temperature Prediction Model [R] . Morris, A. Terry 1999

机译：电力变压器油温预测模型参数估计技术比较

Comparing Parameter Estimation Techniques for an Electrical Power Transformer Oil Temperature Prediction Model

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