Transformer fault diagnosis method based on improved hierarchical clustering

Abstract

The invention discloses a transformer fault diagnosis method based on improved hierarchical clustering. The method comprises the steps of (1) establishing a transformer vibration signal acquisition system, carrying out data sampling on a transformer based on the established system to obtain a transformer vibration signal, (2) obtaining a transformer vibration signal through the Hilbert-Huang transform method, and (3) carrying out hierarchical classification on the vibration signal characteristic values of a tested transformer through an improved agglomerative hierarchical clustering algorithm, and determining the state of the tested transformer. According to the improved agglomerative hierarchical clustering algorithm, based on a traditional agglomerative hierarchical clustering algorithm, after objects are combined, the data of an initial distance matrix is directly used to carry out data processing, and a technical effect of the rapid and effective diagnosis of a transformer fault state is realized.

Description

technical field [0001] The invention relates to the field of transformer fault diagnosis, in particular to a transformer fault diagnosis method based on improved hierarchical clustering. Background technique [0002] Transformer is one of the most important and valuable electrical equipment in the power grid, and its operating status is directly related to the safety and stability of the entire power system. During the operation of the transformer, it is affected by the impact of various overvoltages and high currents, which will lead to the loosening of the winding iron core and other components. With the aging and deterioration of the insulation, some faults will inevitably occur. From the statistical analysis of transformer faults at home and abroad, it is concluded that mechanical faults caused by winding deformation, winding and iron core compression and loosening are the main components of transformer faults. Therefore, in order to ensure the safe operation of the pow...

AI Technical Summary

Problems solved by technology

[0007] The invention provides a transformer fault diagnosis method based on improved hierarchical clustering, which solves the technical problems of large amount of calculation and long running time in the existing transformer fault diagnosis method using traditional hierarchical clustering analysis, and realizes the transformer fault diagnosis method. Technical effect of fast and effective diagnosis of fault state

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