Winding machinery state diagnosis method and system based on transformer noise

Abstract

The invention discloses a winding machinery state diagnosis method and system based on transformer noise. The winding machinery state diagnosis method comprises steps of collecting noise signals and current signals of a transformer at two different operation times, calculating a transfer function according to an auto-power spectrum of noise signals and the current signals of the transformer at the two different times, selecting an appointed frequency band to calculate amplitude frequency characteristic correlation coefficients of the transfer function at two different operation times according to the transfer functions of the two different operation times, performing matching on the amplitude frequency characteristic correlation coefficients and a preset diagnosis rule table, and outputting a matched winding machinery state diagnosis result, wherein the diagnosis rule table comprises a value interval of the amplitude frequency characteristic correlation coefficients and a corresponding winding machinery state diagnosis result. The winding machinery state diagnosis based on the transformer noise comprises a program module corresponding to the winding machinery state diagnosis method. The winding machinery state diagnosis method and system of the invention do not contact with live equipment, have high safety, do not affect normal operation of the equipment and are easy and flexible in testing.

Description

technical field [0001] The invention relates to a transformer winding mechanical state detection technology, in particular to a winding mechanical state diagnosis method and system based on transformer noise. Background technique [0002] Transformer is one of the most important equipment in the power system, and its safe operation has been closely related to the national economic development. If the transformer fails, it will cause a large-scale power outage, which will not only affect the production of the factory, but also affect the lives of the people. It can be seen from the statistical data on transformer accidents over the years that transformer windings are one of the most faulty components. As of the end of 2006, the number of damage accidents caused by external short-circuit faults in 110kV and above power transformers in the country reached 50% of the total number of accidents. Judging from the dismantling of the transformer after the accident, the transformer ...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a non-contact live equipment, high safety, and does not affect the n

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