Transformer iron core looseness diagnosis method based on vibration image

Abstract

The invention discloses a transformer iron core looseness diagnosis method based on a vibration image and relates to the field of transformer fault diagnosis. By adopting and installing multiple vibration acceleration sensors on the surface of a transformer tank, a vibration signal of the whole transformer is obtained, phase correction is conducted on the vibration signal to obtain the vibration accelerations of all positions of the transformer tank under different working conditions, and an acceleration cloud image is drawn according to the vibration accelerations and then are converted intogray image; a vibration co-occurrence matrix of a transformer is calculated according to the gray image, energy is extracted from the vibration co-occurrence matrix to serve as a characteristic quantity, accordingly characteristic values of the transformer under the different working conditions can be obtained, a characteristic value change rule table is obtained according to the characteristic values of the transformer under the different working conditions, and a transformer iron core state can be judged through the characteristic value change rule table. The transformer to be detected is detected according to the above steps, the iron core state of transformer to be detected can be obtained, and accordingly it can be accurately and simply judged whether a transformer iron core is looseor not.

Description

technical field [0001] The invention relates to the field of transformer fault diagnosis, in particular to a method for diagnosing transformer core looseness based on vibration images. Background technique [0002] The transformer is one of the most important equipment in the power system and a key link in the power system. The safe operation of the transformer is closely related to the reliable operation of the power system. Because the environmental conditions of the transformer operation are very complex and the service life is long, it is inevitable that there will be failures. Once the transformer fails, it will have a huge impact on production and life in a wide range, which will not only cause huge economic losses, but also bring safety hazards to the staff. Therefore, it is of great significance to discover the potential faults of transformers in time and improve the reliability of transformer operation. It is very important to study the fault diagnosis methods of t...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for diagnosing transformer iron core looseness based on vibration images, thereby solving the problem that in the existing vibration method to evaluate the vibration signal analysis of transformers, the vibration signal of a single measuring point is mostly used for analysis, and the overall vibration of the transformer is not used. Disadvantages of features for troubleshooting

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