GIS fault diagnosis method based on sound intensity cloud picture

Abstract

The invention relates to a GIS fault diagnosis method based on a sound intensity cloud picture. The method is characterized by comprising the following steps: (1) arranging equally-spaced measure points at a GIS busbar tube and switch equipment, orderly scanning all measure points through a handheld annular sound pressure sensor array with five pairs of sensors, thereby obtaining sound pressure signals of the GIS at the busbar tube and the switch equipment at different working conditions; (2) computing the sound pressure signals obtained by five pairs of sensors in the step (1) to obtain a sound intensity value at each pair of sensors, and finally obtaining the 5*N sound intensity matrix, wherein the N is the amount of the measure point; and (3) performing cubic spline interpolation on theobtained sound intensity matrix to obtain the entire sound intensity cloud picture at the GIS busbar tube and the switch equipment, and then converting the color cloud picture into a gray picture. The live line detection can be realized, the entire sound radiation characteristic of the GIS is acquired, the judgment is accurate, and the measurement difficulty can be reduced.

Description

technical field [0001] The invention relates to a GIS fault diagnosis method based on a sound intensity cloud image. Background technique [0002] GIS is one of the most important equipments in the power system, and its safe operation is closely related to the reliable operation of the power grid. If the GIS fails, it will lead to a large-scale power outage, which will not only affect the production of the factory, but also affect the lives of the people. Therefore, it is necessary to discover the hidden dangers of GIS in time, avoid sudden accidents, improve the reliability of power grid operation, and carry out research on GIS fault diagnosis methods is of great significance. [0003] In actual operation, the shell and conductive rod of GIS will vibrate due to the action of electromagnetic force. Common faults in GIS include internal partial discharge, loose bolts, poor contact of switches, etc. Partial discharge may be due to the reduction of dielectric strength caused...

AI Technical Summary

Problems solved by technology

Among them, the ultra-high frequency method mainly realizes the detection of internal partial discharge by monitoring high-frequency signals, and cannot effectively monitor the low-frequency signals generated by mechanical failures.

The ultrasonic method monitors the insulation state by monitoring the ultrasonic signal generated by partial discharge, but it is easily affected by background noise such as partial discharge and wind, and has poor anti-noise interference ability

The vibration analysis method monitors the mechanical state of the GIS by measuring the vibration signal of the GIS shell, but this method is easily affected by the measurement position and cannot obtain the overall vibration characteristics of the GIS

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