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Full-frequency-domain identification method for vibration noise source of transformer

A vibration noise and identification method technology, applied in the direction of instruments, measuring ultrasonic/sonic/infrasonic waves, measuring devices, etc., can solve the problems of complex structure, poor high-frequency identification effect, wide noise frequency distribution, etc., to overcome the large volume. Effect

Inactive Publication Date: 2018-12-11
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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AI Technical Summary

Problems solved by technology

The transformer is bulky and complex in structure, and the noise frequency distribution is wide
At present, the noise source identification methods mainly include sound intensity method, sound pressure method, beamforming method, and acoustic holography method. The beamforming method has superior high-frequency spatial resolution ability, but the low-frequency domain identification effect is not good.
Acoustic holography has superior low-frequency spatial resolution capabilities, but the high-frequency domain recognition effect is not good

Method used

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  • Full-frequency-domain identification method for vibration noise source of transformer
  • Full-frequency-domain identification method for vibration noise source of transformer
  • Full-frequency-domain identification method for vibration noise source of transformer

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Embodiment 1

[0080] The speed of sound propagation is 340m / s, the density of air is 1.29g / L, the distance between the acoustic holographic measurement surface and the sound source surface of the transformer is 0.1m, and the front surface area of ​​the transformer is 2×2m 2 , the aperture of acoustic holographic measurement surface N is 2×2m 2 , the number of measurement points is 10×10, and the distance between the microphones is 0.2m. After zero-padding extrapolation in the wavenumber domain, the aperture of the zero-padding extrapolation measurement surface N+ is 4×4m 2 , the number of measurement points is 20×20. The wave number shaping measurement surface is 2.17 meters away from the sound source surface of the transformer (the maximum measurement angle of the microphone is less than 30 degrees), and the aperture of the beam forming measurement surface is 0.5×0.5m 2, the number of measurement points is 5×5, the distance between microphones is 0.05m, and the signal-to-noise ratio is S...

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Abstract

The invention discloses a full-frequency-domain identification method for a vibration noise source of a transformer, and relates to a noise source identification method. The method comprises the following steps that sound pressure signals of the vibration noise source of the transformer are collected and measured, and divided according to the frequency domain; an acoustic holography method is usedto reconstruct low-frequency signals and calculate the vibration speed in the normal direction of low-frequency noise; a wave beam formation method is used to reconstruct high-frequency signals and calculate the vibration speed in the normal direction of high-frequency noise; and the noise sound pressure signals in the full frequency domain and the vibration speed in the normal direction of noisein the full frequency domain are calculated to identify full-frequency-domain noise of the vibration noise source of the transformer. Wave-number-domain zero-fill extrapolation is carried out on low-frequency sound pressure signals obtained by measuring an acoustic holographic measurement side, a result after zero-fill extrapolation is used to carry out reconstruction, reeling errors and an edgeGibbs effect caused by large size of the transformer are overcome, and noise of the vibration noise source of the transformer is identified in the full frequency domain.

Description

technical field [0001] The invention belongs to a transformer noise source identification method, in particular to a transformer vibration noise source full-frequency domain identification method. Background technique [0002] Transformer is one of the most important equipment in the power system. Transformer failure will have a significant impact on the safe and stable operation of the entire power grid. Identifying the source of transformer vibration and noise will help determine the operating status of the transformer and detect faults early. The transformer is bulky and complex in structure, and the noise frequency distribution is wide at the same time. At present, noise source identification methods mainly include sound intensity method, sound pressure method, beamforming method, and acoustic holography method. Beamforming method has superior high-frequency spatial resolution ability, but the low-frequency domain identification effect is not good. Acoustic holography h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 黎大健余长厅陈梁远张玉波张磊赵坚颜海俊贺德华
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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