Vibration data fusion and image recognition-based transformer fault diagnosis method

Abstract

The invention discloses a vibration data fusion and image recognition-based transformer fault diagnosis method. A plurality of vibration measuring points are arranged on the outer surface of a transformer oil tank to measure vibration data so as to obtain vibration data under various typical fault states of the transformer. Characteristic value extraction is performed on the pieces of vibration data respectively to form characteristic value matrixes which completely describe the process change rule of the various typical faults, i.e., a sample matrix database of the various typical faults. On the basis, the image recognition technology is applied to the field of transformer fault diagnosis; through matching calculation of the characteristic value matrixes, the defects of the electric parameter measuring method and the artificial fault recognition in the field of the conventional transformer fault diagnosis are overcome, the faults and the states of transformer windings and cores can be sensitively reflected, and the potential faults in the transformer are earlier discovered.

Description

technical field [0001] The invention relates to the field of electrical equipment fault diagnosis, in particular to a method for monitoring and automatically diagnosing transformer fault types by using vibration data fusion technology and image recognition technology. Background technique [0002] With the rapid development of my country's electric power industry, the scale of the power grid is getting larger and the voltage level is getting higher and higher. The interconnection of large power grids has become an inevitable trend. Equipment, which undertakes the functions of voltage conversion, power distribution and transmission, networking, and grid connection, plays an important role in improving the grid structure, rationally distributing system power flow, and improving the stability, reliability, and economy of power system operation. Its safe operation is very important to ensure the safety and reliability of the power grid. Once an accident occurs during operation of...

AI Technical Summary

Problems solved by technology

[0003] In the case of long-term operation of the power transformer and the influence of factors such as sudden short-circuit accidents, the transformer will fail, and the ability to withstand short-circuit impact will be greatly reduced, affecting the safe and stable operation of the entire power grid.

At present, although the traditional electrical parameter measurement method can reflect the transformer fault, it can only serve as a qualitative reference, and cannot effectively monitor and diagnose the transformer in the early stage of the fault.