Method for processing transformer DGA online monitoring data

A technology for monitoring data and processing methods, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as data drift, evaluation of work impact based on index status, and misreporting of equipment abnormal status. The effect of processing speed

Pending Publication Date: 2022-04-19
NANCHANG UNIV
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Problems solved by technology

[0003] Due to the operating environment of the equipment and the electromagnetic interference of the transformer itself, the online monitoring device is prone to randomly distributed abnormal value points during the data collection and transmission process, and even data drift and transmission interruption in severe cases.
For obvious data abnormalities such as data drift and data interruption, the background system can quickly ident...

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  • Method for processing transformer DGA online monitoring data
  • Method for processing transformer DGA online monitoring data
  • Method for processing transformer DGA online monitoring data

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[0153] A method for processing transformer DGA online monitoring data, the steps are as follows:

[0154] S1. Sliding window processing of data sets: After years of operation of power transformers, the DGA online monitoring data usually has a large scale, and processing the entire data set at the same time usually increases the complexity of the algorithm and the operating pressure of the server, which is feasible The performance is low; a DGA online data processing method based on the sliding window idea is proposed, and a data window with a length of L is established, and the data is intercepted in the data set using this window.

[0155] S2. Intercept the data set according to a certain step length: drag the data window to a length of L with a step length of l 1 Sliding in the online monitoring data set can be intercepted data windows, export the obtained window data, and get the set of data windows to be processed {DS i},i∈n, the data processing will take the data windo...

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Abstract

The invention provides a transformer DGA online monitoring data processing method, which comprises the following steps: according to the characteristics of returned data, enabling online data to be equivalent to a time sequence; in the first stage, the thought of a sliding window algorithm is introduced, an improved sequence piecewise linearization algorithm is provided, sequence data is divided into a plurality of line segments represented by slopes and spans, then online monitoring data is symbolized by using improved K-means clustering, and finally the relevance among different indexes in DGA is mined by using an APRIORI algorithm, so that the DGA is subjected to online monitoring. An abnormal value existing in the data is explored; and in the second stage, according to the screened abnormal numerical sampling points, an improved particle swarm optimization support vector regression algorithm is used, the solving speed and solving diversity of the algorithm are guaranteed, key parameters in the support vector regression algorithm are optimized, and the sampling points are repaired, so that the processing of the online DGA monitoring data of the transformer is completed.

Description

technical field [0001] The invention relates to a processing method for transformer DGA online monitoring data, which belongs to the field of power equipment data cleaning. Background technique [0002] The power transformer is the key equipment for power conversion and transmission, and its safe and stable operation is an important guarantee for the quality of power supply for users. The online data of the DGA index of the transformer is a real-time monitoring of the insulation performance of the equipment. Based on the analysis of the oil chromatographic data, the real-time state of the transformer can be quickly obtained; at the same time, there are many index dimensions in the DGA data. , helps to identify data with different abnormal patterns in online data, and can enhance the credibility of the comprehensive status evaluation results of equipment. [0003] Due to the operating environment of the equipment and the electromagnetic interference of the transformer itself...

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Application Information

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IPC IPC(8): G06F16/2458G06F16/215G06K9/62G06N3/00G06N20/10G06Q50/06
CPCG06F16/2465G06F16/215G06N3/006G06N20/10G06Q50/06G06F18/23213G06F18/22
Inventor 朱自伟张益宁周梦垚谢青徐松龄翟嘉璐王梦宇
Owner NANCHANG UNIV
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