Transformer three-ratio fault diagnosis method improved by B-spline theory

Abstract

The invention belongs to the technical field of fault diagnosis for main electric power equipment, and particularly relates to a transformer three-ratio fault diagnosis method improved by a B-spline theory. The method comprises the following steps of: collecting sample data of gas dissolved in oil to construct a sample library, forming a three-dimensional space by a three-ratio method to obtain the characteristic area of each fault mode, and establishing each fault interface equation expressed by a B-spline curved surface; calculating the position relationship between a sample and a fault interface to judge the fault type of a transformer; for the fault sample with wrong diagnosis, re-calculating a curved surface parameter by virtue of the inverse computation method of the B-spline curved surface, and bringing the sample with wrong diagnosis into a correct fault characteristic area; calculating the position relationship between the sample to be diagnosed and each interface curved surface after shape adjustment to realize judgement on the fault type of the transformer. According to the method disclosed by the invention, the fault characteristic area determined by improving the three-ratio method is taken as a basis, and a dynamic learning function is realized through flexibly and self-adaptively adjusting the interface curved surface shape in the fault area; the method is great in practicability and generalization performance.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of main electric power equipment, and in particular relates to a three-ratio fault diagnosis method of a transformer improved by applying the B-spline theory. Background technique [0002] The power transformer is one of the most important equipment in the power system. It is an important equipment for transmitting and distributing electric energy between power plants and power users. It is responsible for the important task of power transformation. Once it breaks down during operation, it will affect production at least and bring inconvenience to people's lives; at worst, it will endanger people's lives and property safety and hinder the development of the entire national economy. Therefore, it is of great significance to timely and accurately discover the latent faults and fault types inside the transformer through effective fault diagnosis technology. Dissolved gas analysis in oil (dis...

AI Technical Summary

Problems solved by technology

However, the improved three-ratio method will produce diagnostic errors in the actual application process. As a static fault diagnosis method, it does not have an adaptive learning mechanism, so it cannot correct the corresponding diagnostic errors.

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