Power transformer fault diagnosis method

Abstract

The invention discloses a power transformer fault diagnosis method which comprises the following steps: S1, constructing a deep belief network model, and carrying out feature extraction and classification to obtain a trained deep belief network model; S2, processing the to-be-diagnosed data to obtain a corresponding output result; S3, calculating a basic probability value of the output result, andobtaining basic probability values of other evidences at the same time; S4, fusing all evidences by using the D-S evidence theory is fused, and calculating the likelihood, the trust degree and the conflict factor K of each focal element; S5, obtaining a confidence interval (Bel, pl) and a diagnosis conclusion according to the data obtained in the step S4; and S6, reconstructing a deep belief network model according to the fault part in the obtained diagnosis conclusion, and repeating the steps S1 to S5 to further analyze the fault cause until a final conclusion is obtained. According to the diagnosis method, a large amount of multi-source heterogeneous data can be well processed, and the diagnosis method is good in multi-evidence fusion and feature extraction, low in uncertainty and highin reliability.

Description

technical field [0001] The invention relates to the field of fault diagnosis, and in particular provides a fault diagnosis method for a power transformer. Background technique [0002] In the current research, the operation and maintenance data of power transformers have not been fully utilized. At the same time, there are limitations in the monitoring technology for various state information of power transformers, and the relevant data of power transformers obtained are not accurate enough, far from meeting the standards for practical use. Moreover, the structure of the transformer is complex, and the faults that occur are mostly nonlinear and uncertain, which brings many problems to the fault diagnosis of the transformer. [0003] Therefore, developing a new fault diagnosis method for power transformers to better analyze and process large amounts of data has become an urgent problem to be solved. Contents of the invention [0004] In view of this, the purpose of the pr...

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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a fault diagnosis method for power transformers to solve the problems of large uncertainty, difficult high-dimensional data processing, and poor feature extraction effectiveness in transformer fault diagnosis methods in the prior art.

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