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Fusion correction method of on-line monitoring data and live detection data of oil-immersed transformer

An oil-immersed transformer and live detection technology, which is applied in the field of statistical analysis to achieve the effect of retaining the changing trend and breaking the respective limitations of online data and live data

Active Publication Date: 2019-02-05
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In summary, there is still a certain gap between the method of Lin (2011) and the actual needs of transformer data fusion

Method used

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  • Fusion correction method of on-line monitoring data and live detection data of oil-immersed transformer
  • Fusion correction method of on-line monitoring data and live detection data of oil-immersed transformer
  • Fusion correction method of on-line monitoring data and live detection data of oil-immersed transformer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] We use the following example to illustrate the effect of the online monitoring data and electrification detection data fusion correction method proposed by the present invention.

[0053] First, the concentration of hydrogen in oil-immersed transformer oil is obtained through remote online monitoring equipment, which is recorded as online monitoring data; the concentration of hydrogen in oil-immersed transformer oil is obtained through manual sampling, which is recorded as live detection data; the online monitoring data and The live detection data is preprocessed so that the time interval of the online monitoring data is the same, both are 1 day, and the time points of the online monitoring data and the live detection data correspond one by one. For the absence of online monitoring data, linear interpolation is used to fill in the online monitoring data, and finally the online monitoring characteristic gas content-time series with complete observation values ​​and the ch...

Embodiment 2～3

[0078] Using the same fusion correction method as in Example 1, the hydrogen concentration-time curve obtained after fusion correction and the hydrogen concentration-time curve of online monitoring and the hydrogen concentration-time curve of charged detection are shown in figure 2 , image 3 .

Embodiment 4

[0080] Using the same fusion correction method as in Example 1, the hydrogen concentration-time curve obtained after fusion correction and the hydrogen concentration-time curve of online monitoring and the hydrogen concentration-time curve of charged detection are shown in Figure 4 Middle top picture.

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Abstract

The invention discloses a method for fusing and correcting online monitoring data and live detection data of an oil-filled transformer. According to the method, firstly, the online monitoring data and the live detection data are preprocessed to obtain two groups of feature gas content-time sequences with the same time intervals and mutually corresponding time points; then, a hierarchical Bayesian model is built according to the online monitoring feature gas content-time sequences and the live detection feature gas content-time sequences; the hierarchical Bayesian model is subjected to estimation by using a maximum expectation algorithm to obtain the distribution condition of a hyper-parameter eta and a parameter vector beta=[beta<o>, beta<f>]; then, the beta is multiplied by the orthogonal vector Z to obtain the average value of the Zbeta<f>; the average value is used as the replacing value of missing data to be supplemented into the live detection data to obtain the fused and corrected transformer operation data. The transformer operation data and the live detection data have the approximately identical measuring degree level; the change trend of the online monitoring data is remained to the maximum degree; the advantage complementation is realized; the respective limitation of the online data and the live data is broken.

Description

technical field [0001] The invention relates to the field of statistical analysis, in particular to a method for fusion and correction of online monitoring data and electrification detection data of an oil-immersed transformer. Background technique [0002] At present, there are two types of monitoring methods for oil-immersed transformers. One is to use online monitoring, that is, to use infrared spectrometers to remotely monitor equipment; the other is live detection, that is, professionals go to the site to sample and test transformer oil. The monitoring interval of online data is short (usually 1 day), and the data distribution is relatively dense, but due to the problems of the online monitoring device itself, its accuracy needs to be verified. The live detection data comes from professional sampling and detection, which has high accuracy, but the cost of manual detection is high, so the detection interval is long (usually more than 1 month). Online monitoring data can...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/10
CPCG16Z99/00
Inventor 华中生
Owner ZHEJIANG UNIV
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