Partial Discharge Spectrum Feature Pattern Recognition Algorithm Based on Gaussian Parameter Fitting

A technology of partial discharge and Gaussian parameters, which is applied in the direction of testing dielectric strength, etc., can solve the problems of not fully clear connotation and law, difficult identification, low reliability, etc., to overcome poor anti-interference ability, strong anti-interference ability, Effects that are less difficult to identify
CN105223475BActive Publication Date: 2018-05-15STATE GRID CORP OF CHINA +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID CORP OF CHINA
Publication Date
2018-05-15

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Abstract

The invention discloses a characteristic pattern recognition algorithm for a partial discharge spectrum based on Gauss parameter fitting. The algorithm comprises a) the partial discharge spectrum in the partial discharge process to be measured is obtained; b) based on the obtained partial discharge spectrum, the distance between the to-be-identified characteristic quantity of partial discharge and the standard characteristic quantity of partial discharge in the partial discharge process to be measured is obtained via a Gaussian function; and c) based on the obtained distance, an identification result of the partial discharge mode is obtained and output. The characteristic pattern recognition algorithm can overcome the defects that in the prior art, the anti-interference capability is low, the identification difficulty is high and the reliability is low, and has the advantages of high anti-interference capability, low identification difficulty and high reliability.
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Description

technical field

[0001] The invention relates to the technical field of discharge spectrum processing, in particular to a partial discharge spectrum characteristic pattern recognition algorithm based on Gaussian parameter fitting. Background technique

[0002] In order to meet the needs of power system maintenance, the partial discharge on-line detection technology of high-voltage electrical equipment, especially the key technology-partial discharge pattern recognition, has been greatly developed. A group of classification-related parameters used to describe the partial discharge fault pattern recognition system is the feature quantity of the recognition system. The basic task of feature quantity extraction is how to find out the most effective feature quantities from many features of the system and study how to compress the high-dimensional feature space into a low-dimensional feature space in order to effectively design classifiers.

[0003] In the 1990s, the pattern recog...

Claims

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