Method of carrying out transformer fault identification based on BP neural network algorithm

A BP neural network, transformer fault technology, applied in the field of neural network, can solve problems such as high cost and complex technology, and achieve the effect of convenient method

Inactive Publication Date: 2016-03-23
XIAMEN UNIV OF TECH
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0005] Temperature monitoring method: On the one hand, a temperature sensor can be installed on the wire near the transformer winding to sense the temperature change. By observing and ana

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  • Method of carrying out transformer fault identification based on BP neural network algorithm
  • Method of carrying out transformer fault identification based on BP neural network algorithm
  • Method of carrying out transformer fault identification based on BP neural network algorithm

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Embodiment Construction

[0040] figure 1 The flow chart of the method for transformer fault identification based on BP neural network algorithm provided by the present invention, as figure 1 As shown, the present invention provides a kind of method that carries out transformer fault recognition based on BP neural network algorithm, it is characterized in that, comprises the steps:

[0041] Step S1: Collect the discharge pulse patterns of different transformer faults through the partial discharge test system;

[0042] Step S2: Perform power spectrum analysis on the discharge pulse obtained through step S1;

[0043] Step S3: extracting training samples and testing samples from the feature quantities obtained through the power spectrum analysis obtained in step S2;

[0044] Step S4: constructing BP network neural;

[0045] Step S5: Carry out BP network neural training;

[0046] Step S6: Carry out neural testing of BP network.

[0047] Each step will be described below through specific embodiments an...

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Abstract

The invention provides a method of carrying out transformer fault identification based on a BP neural network algorithm. The method comprises the following steps of step S1, through a partial discharge test system, collecting discharge pulse graphs of different transformer faults; step S2, carrying out power graph analysis on discharge pulses acquired through the step S1; step S3, extracting a training sample and a test sample from characteristic quantities acquired through the power graph analysis obtained from the step S2; step S4, constructing a BP network nerve; step S5, carrying out BP network nerve training; step S6, carrying out BP network nerve testing. By using the method of carrying out transformer fault identification based on the BP neural network algorithm, a fault type of a transformer can be accurately identified. And the method plays an important role in transformer fault diagnosis and a state assessment and the method is convenient.

Description

technical field [0001] The invention relates to the field of neural networks, and more specifically relates to a method for transformer fault identification based on a BP neural network algorithm. Background technique [0002] The operating status of the transformer is related to whether the entire power transmission can be carried out reliably. In actual operation, due to some accidental or non-accidental reasons, various faults will occur in the transformer, and the most likely one is the insulation fault inside the transformer. The main cause of the failure is caused by insulation aging or weakening, and the partial discharge phenomenon is an important sign of the lowering of the transformer insulation level. Therefore, the results of the partial discharge experiment are imported into the simulation system to classify and identify the discharge types. , Quickly judge the potential insulation faults inside the transformer, eliminate the upcoming faults in time, and ensure ...

Claims

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Application Information

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IPC IPC(8): G01R31/00G01R31/02G01R31/12
CPCG01R31/00G01R31/12G01R31/62
Inventor 邵振华陈天翔陈丽安
Owner XIAMEN UNIV OF TECH
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