Oil-immersed transformer fault diagnosis method based on fault probability distribution model

Abstract

The invention discloses an oil-immersed transformer fault diagnosis method based on a fault probability distribution model, aiming to provide the probability of various faults of the oil-immersed transformer according to analysis of dissolved gas in oil. The oil-immersed transformer fault diagnosis method includes the steps of collecting massive analysis data of the dissolved gas in the oil of the transformer and normalizing the data, utilizing a Sigmoid function to realize probability output on the basis of a support vector machine, computing according to the collected massive analysis data of the dissolved gas in the oil to acquire optimal parameters of the support vector machine and the Sigmoid function, fusing the probability output of multiple support vector machines into probability output of multi-class problems, and obtaining a diagnosis result by referring to the maximum probability classification and standard deviation. The oil-immersed transformer fault diagnosis method based on the fault probability distribution model has high accuracy without error diagnosis, can be used for processing multiple fault conditions effectively and has high practicability.

Description

technical field [0001] The invention belongs to the technical field of electric equipment fault diagnosis, and in particular relates to a fault diagnosis method for an oil-immersed transformer based on a fault probability model. Background technique [0002] In the power system, the power transformer is responsible for the voltage change between the grids and the function of electric energy conversion, and is one of the most important equipment in the power system. On the one hand, the failure of the transformer during operation will cause damage or damage to the equipment itself, causing power outages to the users; on the other hand, it may also cause system accidents, which are even more harmful. With the continuous development of computer technology, intelligent technology and sensor technology, various intelligent fault diagnosis technologies have begun to be applied to the fault diagnosis of power transformers, becoming a convenient and effective means of transformer fa...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned technical problems existing in the prior art, the present invention provides a fault diagnosis method for oil-immersed transformers based on a fault probability model, which introduces probability into the characteristic pattern matching process, so that the diagnosis results can more fully reflect the internal characteristics of oil-immersed transformers. situation, effectively solve the drawbacks of existing similar methods, and achieve better results

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