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Main transformer oil chromatography data cleaning method based on LOF algorithm

A technology of data cleaning and oil chromatography, which is used in electrical digital data processing, special data processing applications, digital data information retrieval, etc. It can solve problems such as missed judgments, inability to correct abnormal data, and abnormal points that are not intelligent enough to achieve a wide range of applications. Effect

Inactive Publication Date: 2019-08-30
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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  • Claims
  • Application Information

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Problems solved by technology

However, the identification of abnormal points based on the formula is not intelligent enough, and may have a large discrepancy with the actual situation, resulting in misjudgments, missed judgments, etc.
Moreover, this method can only identify abnormal points, but cannot correct abnormal data, which is not conducive to subsequent data analysis and data mining.

Method used

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  • Main transformer oil chromatography data cleaning method based on LOF algorithm
  • Main transformer oil chromatography data cleaning method based on LOF algorithm
  • Main transformer oil chromatography data cleaning method based on LOF algorithm

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Embodiment Construction

[0060] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0061] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Description...

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Abstract

The invention discloses a main transformer oil chromatography data cleaning method based on an LOF algorithm. The main transformer oil chromatography data cleaning method comprises the following steps: S1, preprocessing main transformer oil chromatography data; S2, mapping each data point into one point in a three-dimensional space; S3, finding out data abnormal points based on the LOF idea, and correcting the data abnormal points; and S4, repeating the step S2 and the step S3 until the LOF values of all the data points are smaller than a given threshold value. The main transformer oil chromatography data cleaning method is not limited to formulas and related standards, and according to the characteristics of the data, can identity abnormal points in the data and complete the restoration of abnormal and missing values, and meanwhile, the main transformer oil chromatography data cleaning method can adapt to abnormal point standards with different strict degrees by adjusting the threshold value. The main transformer oil chromatography data cleaning method is flexible and accurate and is wide in the application range.

Description

technical field [0001] The invention relates to a method for cleaning main transformer oil chromatographic data based on LOF algorithm, and belongs to the technical field of power equipment data cleaning. Background technique [0002] The main transformer in a substation is one of the most important equipment in the power grid, and its status is directly related to whether the power grid can run safely and stably. It is a common method in the power system to monitor the operation status of the transformer through the chromatographic data of the main transformer oil. How to accurately identify and correct abnormal data in oil chromatographic data is crucial to subsequent state assessment and data analysis. [0003] At present, the identification of abnormal points in the main transformer oil chromatographic data is mainly based on formulas such as the three-ratio method and the David's triangle method. However, the identification of abnormal points based on the formula is n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215
CPCG06F16/215
Inventor 杨祎秦佳峰辜超李程启林颖白德盟郑文杰朱文兵周加斌许伟伊锋高志新韩明明李龙龙
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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