Prediction method and system for concentration of gas dissolved in transformer oil based on deep belief network

A deep belief network and transformer oil technology, applied in prediction, neural learning methods, biological neural network models, etc., can solve problems such as increased calculation, ignoring gas correlation analysis, poor stability, etc., and achieve good prediction results

Inactive Publication Date: 2018-01-05
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0003] Traditional methods often only consider the development trend of a certain gas when modeling, ignoring the correlation analysis between gases, making the prediction effect not scientific enough and the stability poor
Although the correlation degree technology avoids the defect of single-component gas concentration prediction, the amount of calculation is increased in the data preprocessing process, and the selection of the correlation degree threshold has a certain degree of subjectivity

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  • Prediction method and system for concentration of gas dissolved in transformer oil based on deep belief network
  • Prediction method and system for concentration of gas dissolved in transformer oil based on deep belief network
  • Prediction method and system for concentration of gas dissolved in transformer oil based on deep belief network

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Embodiment Construction

[0044] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] figure 1 The process flow of the method for predicting the concentration of dissolved gas in transformer oil based on deep belief network according to the present invention in one implementation is illustrated.

[0046] Such as figure 1 As shown, the method for predicting the concentration of dissolved gas in transformer oil based on the deep belief network of the present embodiment includes steps:

[0047] (1) Determine the relevant parameters of the dissolved gas concentration in the transformer oil.

[0048] In some embodiments, the above-mentioned related parameters include H 2 Concentration, CH 4 Concentration, C 2 h 6 Concentration, C 2 h 4 Concentration, C 2 h 2 concentration, CO concentration, CO 2 at least one of concentration and at least one of ambient temperature and oil temperature.

[0049] (2)...

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Abstract

The invention discloses a prediction method for concentration of gas dissolved in transformer oil based on a deep belief network. The method comprises the steps of 1, determining parameters related tothe concentration of the gas dissolved in the transformer oil; 2, acquiring sample data of historical time dimensions of the related parameters; 3, 3 building a deep belief network model; 4, trainingthe deep belief network model, determining the parameters, and acquiring feature information of the historical time dimensions; 5, predicting feature information of future time dimensions; and 6, rebuilding prediction data of the future time dimensions of the related parameters based on the feather information of the future time dimensions so as to achieve prediction on the concentration of the gas dissolved in the transformer oil. In addition, the invention also discloses a corresponding system. According to the method provided by the invention, the concentration of the gas dissolved in thetransformer oil can be predicted based on automatic analysis on association between the related parameters, and thus a better prediction effect is achieved.

Description

technical field [0001] The invention relates to the field of power equipment monitoring, in particular to a method and system for predicting the concentration of dissolved gas in transformer oil. Background technique [0002] The power transformer is one of the key equipment of the power system, and its operation status is related to whether the grid can provide reliable power supply. During the operation and use of the transformer, a small amount of gas will be dissolved in the insulating oil due to aging, electrical and thermal failures, etc. The content of various components of the gas in the oil and the proportional relationship between different components are closely related to the operating status of the transformer. Through the analysis of dissolved gas in oil, some latent faults and their development degree inside the transformer can be found. This technology has been proved by a large number of fault diagnosis practices, and it is currently an internationally recog...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06N3/04G06Q10/04
Inventor 代杰杰盛戈皞侯慧娟宋辉钱勇罗林根刘亚东江秀臣
Owner SHANGHAI JIAO TONG UNIV
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