Transformer sound event detection method based on voiceprint recognition

A technology for event detection and voiceprint recognition, applied in instruments, voice analysis, etc., can solve the problem of low accuracy, achieve the effect of improving intelligence level, high recognition accuracy, and solving the overlapping of transformer sound events

Inactive Publication Date: 2021-04-02
STATE GRID ANHUI ELECTRIC POWER +4
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This diagnosis method actually ignores the fault area with less noise, so it does not match

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  • Transformer sound event detection method based on voiceprint recognition
  • Transformer sound event detection method based on voiceprint recognition
  • Transformer sound event detection method based on voiceprint recognition

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Embodiment Construction

[0043] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] Such as figure 1 As shown, the specific embodiment of the present invention discloses a transformer sound event detection method based on voiceprint recognition, comprising the following steps:

[0045] S1. Framing the transformer speech signal sample to be tested according to the time domain to obtain M speech signal frames:

[0046] For example, the present invention takes the transformer original sound signal with a duration of 1s as a sample, and divides each sample into frames. If the time length of each frame is 0.04s, and the frame shift is 0.01s, then each sample can be separated according to the time domain. for 97 frames.

[0047] S2, using the Hamming window to window the voice signal frame obtained in step S1:

[0048] The purpose of windowing the time domain data of each frame is to weaken the distortion effect caused by ...

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Abstract

The invention provides a transformer sound event detection method based on voiceprint recognition. The method comprises the following steps of: framing a to-be-detected sample of a transformer voice signal; windowing each voice signal frame; carrying out discrete Fourier transform on each windowed voice signal frame; calculating an energy spectral density according to a Fourier transform result; filtering the energy spectral density by adopting a 50Hz frequency doubling triangular filter bank; taking a logarithm of the filtered energy spectrum density, and finally obtaining voiceprint featuresof the to-be-detected sample of the transformer voice signal; and detecting the voiceprint features by adopting a CapsNet capsule network model trained in advance to obtain the category of the to-be-detected sample of the transformer voice signal. According to the method, the problem of overlapping of transformer sound events can be solved, the recognition accuracy is high, and the intelligent level of online detection of the transformer sound events is improved.

Description

technical field [0001] The invention relates to the technical field of transformer online detection, in particular to a transformer sound event detection method based on voiceprint recognition. Background technique [0002] With the development of China's economy, the power demand capacity continues to increase, and power quality issues have attracted much attention. In order to enhance reactive power compensation and reactive power balance in the power system, suppress system overvoltage, improve power quality and power supply reliability, the safe and stable operation of transformers is particularly critical. A lot of practice has shown that before serious accidents occur in transformers, there are often latent faults. At present, transformer protection is mainly carried out by relay protection through electrical parameters such as voltage and current during faults. However, due to the ubiquitous internal and difficult detection of transformer latent faults, there is no ...

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Application Information

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IPC IPC(8): G10L17/00G10L17/02G10L17/04G10L25/18G10L25/45G10L25/51
CPCG10L17/02G10L17/04G10L25/18G10L25/45G10L25/51
Inventor 张晨晨季坤丁国成朱太云甄超李坚林陈庆涛吴兴旺杨海涛尹睿涵胡啸宇付成成高亮王维佳胡心颖
Owner STATE GRID ANHUI ELECTRIC POWER
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