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Early-warning method for familial defects of transformer based on data mining

A technology of data mining and transformers, applied in data processing applications, instruments, resources, etc., can solve problems such as the new installation and withdrawal of transformers, the accuracy of identification of affecting defects, etc., and achieve engineering applicability and practicability Effect

Inactive Publication Date: 2016-03-02
ELECTRIC POWER SCI RES INST OF JIANGSU ELECTRIC POWER +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem solved by the present invention is to overcome the problem that the traditional identification method is generally based on static data and does not consider the new installation and withdrawal of transformers every year, which affects the accuracy of defect identification

Method used

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  • Early-warning method for familial defects of transformer based on data mining
  • Early-warning method for familial defects of transformer based on data mining
  • Early-warning method for familial defects of transformer based on data mining

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] The early warning method for transformer familial defects based on data mining of the present invention is based on the integrated data platform of the electric power company, obtains transformer manufacturer, model equipment management information and equipment defect information through data mining, and analyzes the characteristics of transformer familial defects, which can be used as a transformer It is a basis for bidding and purchasing, and the operation of transformers should be allocated reasonably. If possible, the load rate of early warning transformers should be moderately reduced, and the maintenance of early warning transformers should be arranged as soon as possible. figure 1 shown, including the following steps,

[0036] Step (1), read in the relevant information of transformer familial defect judgment from the database server, including the manufa...

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Abstract

The invention discloses an early-warning method for familial defects of a transformer based on data mining, and the method comprises the steps: obtaining transformer factory and type equipment management information and equipment defect information through data mining based on a power company integrated data platform; comparing the yearly defect rate of equipment factory and type with a mean defect rate, and judging the familial defects; proposing a fault centralized degree index; correcting the impact on results from a non-familial defect fault; proposing a confidence level index, so as to reflect the impact on the judgment results from the sample number; carrying out the early warning against the familial defects of transformer; carrying out the early warning for a transformer which operates at a high risk; and providing the information of a production company and the information of type and quality for a purchasing department. The method has engineering applicability and practicality, and is good in application prospect.

Description

technical field [0001] The invention belongs to the technical field of power transformer state evaluation, and in particular relates to a data mining-based early warning method for transformer familial defects. Background technique [0002] The reliability of electrical equipment directly affects the safe operation of the power system. Some electrical equipment has familial defects due to factors such as design, material, and manufacturing process, resulting in a significantly high failure rate after being put into operation. The traditional diagnosis of familial defects in electrical equipment is mainly determined subjectively by experts, lacks quantitative standards, and does not reflect timely enough. With the establishment of the integrated data platform of the electric power company, the relevant manufacturer, model, batch and other electrical equipment management information and equipment failure and other operational information have been associated, providing techni...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06
CPCG06Q10/0637G06Q10/20G06Q50/06
Inventor 郭雅娟朱海兵李斌郝思鹏黄伟陈锦铭张济韬郭静陈昊
Owner ELECTRIC POWER SCI RES INST OF JIANGSU ELECTRIC POWER
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