Method for transformer fault graphic early warning

A transformer fault and transformer technology, applied in the direction of testing dielectric strength, etc., can solve the problem of slow real-time response of the transformer fault graphic early warning system, and achieve the effects of fast calculation speed, simple modeling, and guaranteed projection relationship.

CN103091610BActive Publication Date: 2015-01-21CHAOYANG POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2015-01-21

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Abstract

The invention relates to a method for transformer fault graphic early warning. The method is a wireframe model method. When a wireframe model is adopted to extract data, a top point and seamed edges of only an entity need to be recorded. Compared with surface modeling and entity modeling, the entity modeling is simpler. Due to the fact that the method is different from an existing three-dimensional model method which needs to record all points, lines and surfaces in a three-dimensional model entity, the method only needs to record the top point and the seamed edges, the data size which needs to be calculated is smaller, and the calculating speed is faster. The method solves the problem that a transformer fault graphic early warning system is slow in real-time response.
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Description

technical field

[0001] The invention relates to a method for using a three-dimensional wire frame model to carry out graphic early warning of transformer faults. Background technique

[0002] The transformer is under the action of working voltage for a long time, and partial discharge is prone to occur in weak insulation. Generator partial discharge on-line monitoring is an effective means to prevent generator insulation damage accidents. The current technologies mainly include: two fractal features (fractal latitude and missing items) are extracted from the three-dimensional features of partial discharge, and the neural network is used to identify the discharge pattern; the three-dimensional discharge pattern is recognized based on the extended neural network technology; The model analyzes the statistical characteristics of partial discharge and uses three-dimensional graphs to display; analyzes the statistical characteristics of partial discharge and simulates partial dis...

Examples

Embodiment Construction

[0019] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0020] The three-dimensional wireframe model that the present invention adopts is defined as: in:

[0021] (1) f(t) is the analog signal of transformer partial discharge collected by the embedded system;

[0022] (2) is a wavelet function, through the wavelet transform function After signal processing, get the phase angle-discharge amount-discharge times parameter;

[0023] (3) P is a vector obtained after feature extraction is performed on the discharge sample;

[0024] (4) T 3 D = a 11 a 12 a 13 ...