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Method for recognizing nonlinear correlation between equipment failures and electric quantity information

A non-linear correlation and equipment failure technology, applied in the field of electrical industry, can solve the problems of model error modeling, misjudgment, misjudgment, etc., and achieve the effect of improving accuracy, improving accuracy, and strong practicability

Inactive Publication Date: 2014-01-22
STATE GRID CORP OF CHINA +1
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  • Description
  • Claims
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Problems solved by technology

However, due to errors in the model itself or errors in modeling, or the model itself is not general, it may also cause misjudgment and misjudgment.

Method used

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  • Method for recognizing nonlinear correlation between equipment failures and electric quantity information
  • Method for recognizing nonlinear correlation between equipment failures and electric quantity information
  • Method for recognizing nonlinear correlation between equipment failures and electric quantity information

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Embodiment Construction

[0025] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0026] Such as figure 1 As shown, a method for identifying the nonlinear correlation between transformer equipment faults and detected electrical quantity information is aimed at transformer equipment, based on the definition of distance correlation, and regards the normal or fault state of the equipment as a parameter that affects the operation of the equipment, and calculates the monitoring and detection Various factor information and the correlation between the current corresponding device status. Specific steps are as follows:

[0027] Step 1: Select 2 groups of transformers of the same model and related equipment operation information in different time periods. Due to the large amount of data, they will not be listed here one by one.

[0028] Step 2: Establish an information base containing the electrical information of each group of sample equipment a...

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Abstract

The invention discloses a method for recognizing a nonlinear correlation between equipment failures and electric quantity information. The method comprises the steps as follows: selecting equipment operation related information of multiple groups of transformers with same models in different time periods as samples; establishing an information base containing equipment electric information amounts of each group of samples and current equipment states corresponding to the equipment electric information amounts; calculating a correlation coefficient between the electric information amounts of each group of samples and the current equipment states corresponding to the electric information amounts through a nonlinear correlation recognition algorithm; and analyzing the difference between different samples through matlab software according to the correlation coefficients obtained through calculation. The method has the benefits as follows: the correlation between the equipment failures and the operating state quantities of the transformers can be analyzed rapidly and effectively, the accurate extraction of failure information is facilitated, the failure diagnostic accuracy is improved, meanwhile, the validity and unbiasedness of the nonlinear correlation recognition algorithm are verified, and the method is high in practicability.

Description

technical field [0001] The invention relates to the electrical industry, in particular to a method for identifying nonlinear correlations between transformer equipment faults and detected electrical quantity information. Background technique [0002] With the rapid development of power grid construction, my country is at the forefront of the world in terms of power transmission capacity, equipment and technical level, and higher requirements are placed on the performance and operational reliability of power transmission and transformation equipment. Due to the complexity of the power grid structure, there are various types of transformer failures, and the causes of failures are also extremely complex, such as manufacturing defects, installation quality defects, operating environment and even operational errors. How to dig out some implicit and regular information from the massive data of the electrical quantity monitored by the SCADA system and the fault characteristic infor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
Inventor 王贵明牛林战杰黄金鑫崔金涛
Owner STATE GRID CORP OF CHINA
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