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A method for identification of traveling wave faults and interference recording data based on information aggregation framework

A technology for recorded wave data and traveling wave faults, applied in character and pattern recognition, instruments, testing/monitoring control systems, etc., and can solve problems such as large manual workload and complexity

Active Publication Date: 2019-05-14
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, when selecting traveling-wave fault recording data from a large number of traveling-wave recording data, it needs to be realized by comparing the information of protection trips, and the manual workload is large and complicated.

Method used

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  • A method for identification of traveling wave faults and interference recording data based on information aggregation framework
  • A method for identification of traveling wave faults and interference recording data based on information aggregation framework
  • A method for identification of traveling wave faults and interference recording data based on information aggregation framework

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Experimental program
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Effect test

Embodiment 1

[0073] Input 313 pieces of traveling wave interference recording data and 71 pieces of traveling wave fault recording data after data preprocessing, and the sample data is a 384×16120 matrix.

[0074] According to the first step, db4 discrete wavelet transform is used to complete the wavelet decomposition. Among them, the layer number m of discrete wavelet decomposition is selected as 7 layers, and the wavelet decomposition coefficients are respectively D 1 ,D 2 ,D 3 ,D 4 ,D 5 ,D 6 ,D 7 , A 1 . Calculate the wavelet energy entropy at each scale of the traveling wave recording data according to formulas (1)-(3)

[0075] According to step 2, using the mean and variance of wavelet energy at each scale in formulas (4)-(5), we get

[0076] 24×384 feature matrix.

[0077] According to step 3, the principal component analysis method is used to reduce the dimension, and the first 5 principal components are extracted, and the contribution rate is 83.28%. figure 1 and shown i...

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Abstract

The invention relates to a method for identifying traveling wave faults and interference recorded wave data based on an information aggregation framework, and belongs to the technical field of electric power system relay protection. Firstly, three measures of wavelet energy entropy, mean and variance are used to describe the characteristic matrix formed by the traveling wave recording data obtained by the traveling wave ranging device; secondly, the characteristic matrix is ​​reduced in dimension by principal component analysis; finally, the The Mahalanobis distance method is used to construct the criterion, when the distance between the traveling wave recording data and the overall distribution center is d Mq ≥d M,set , it is judged to be the traveling wave fault record data; otherwise, when the distance between the traveling wave record data and the overall distribution center is d Mq <dWhen M, set, it is judged that the traveling wave interferes with the recorded data. The analysis of a large number of measured data shows that the method is reliable and effective.< / d

Description

technical field [0001] The invention relates to a method for identifying traveling wave faults and interference recorded wave data based on an information aggregation framework, and belongs to the technical field of electric power system relay protection. Background technique [0002] With the gradual advancement of informatization in transmission lines, a large number of measuring devices are installed in transmission lines to record events in the power grid in real time. The records generated by these measuring devices contain rich information. If they can be fully utilized, they will definitely improve Operators' ability to understand grid behavior. At present, the purpose of most wave recording devices is to analyze the cause of the failure afterwards, and the analysis methods are generally manual, lacking online, large-scale, and automatic analysis methods. The condition for most wave recording devices to start wave recording is often the exceeding of a single index, a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G05B23/02
CPCG05B23/024G06F2218/06G06F2218/12
Inventor 束洪春田鑫萃吕蕾
Owner KUNMING UNIV OF SCI & TECH
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