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

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 ...

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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 analyzing the temperature change value, the overheated part of the transformer can be determined and dealt with in time, but this method is expensive in practice. technically complex issues

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