Transformer diagnosis method and device based on sound wave interference

Abstract

The invention relates to a transformer diagnosis method and device based on sound wave interference. The method comprises the following steps: acquiring an acoustic signal of a transformer; performing signal enhancement and signal filtering on the acoustic signal in sequence to obtain a filtered acoustic signal; inputting the filtering acoustic signal into a fault model, and outputting a fault state and a label corresponding to the filtering acoustic signal; and realizing fault diagnosis of the transformer based on the fault state and the label. The method has the advantages that sound signals can be acquired without contacting equipment, the signals are convenient to acquire, electromagnetic signals are not generated during signal acquisition, normal operation of the equipment is not interfered, and the method is simple and convenient; in addition, the device is simple, and sensor installation is flexible.

Description

technical field [0001] The invention relates to the technical field of transformer fault detection, in particular to a transformer diagnosis method and device based on acoustic wave interference. Background technique [0002] During the operation of the transformer, mechanical deformation is generated under the joint action of internal current, magnetic field and other factors, which is transmitted through its own structure and manifested as a vibration signal. This signal propagates through the surrounding air medium and produces the sound signal of the transformer's operation. . These signals can largely reflect the operating condition of the transformer. During on-site inspection operations, experienced technicians can often use an industrial stethoscope to stick to the transformer box, listen carefully to the sound inside the transformer to judge the operating status of the transformer, find out the type of fault, and even roughly locate the fault. This widely used dia...

AI Technical Summary

Problems solved by technology

This widely used diagnostic method relies heavily on the subjective judgment and personal experience of technicians, and has great uncertainty.

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