Substation equipment sound and voice identification method

A technology of power transformation equipment and recognition methods, applied in speech recognition, speech analysis, instruments, etc., to achieve the effect of ensuring life safety

Inactive Publication Date: 2015-03-11
GUIYANG POWER SUPPLY BUREAU OF GUIZHOU POWER GRID CO LTD
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And although the information obtained through the auditory channel is not as high as that obtained throug

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  • Substation equipment sound and voice identification method
  • Substation equipment sound and voice identification method
  • Substation equipment sound and voice identification method

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[0059] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0060] The invention utilizes the principle of acoustics and combines the inherent properties of sound generation to extract the Fourier spectrum of the power frequency multiple of the sound to be tested and the equipment sound spectrum at the non-power frequency multiple to form a feature vector, and uses the SVM classifier to perform equipment sound and voice recognition analyze.

[0061] When the sound signal from the object is collected, the digital signal processing method can be used for signal analysis. When digitizing, the most intuitive way to understand a sound signal is to look at the signal's time-domain waveform. figure 2 and image 3 Time-domain waveform diagrams for substation sounds and voices. Although the time domain waveform is simple and intuitive, the complex sound signal cannot show its unique characteristics in the time domain...

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Abstract

The invention provides a substation equipment sound and voice identification method. The method comprises steps of a training process and an identification process, for the training process, substation equipment sound and human voice are acquired, pre-processing on the acquired sound is carried out, time-frequency transform on the signals after pre-processing is carried out, frequency spectrum analysis is further carried out, characteristic extraction is further carried out, frequency spectrums at power frequency multiplier and non power frequency multiplier portions are extracted from equipment sound signal frequency spectrums, training is carried out through an SVM algorithm, and an SVM learning device is finally acquired; for the identification process, characteristic vectors of to-be-detected sound signals are extracted, identification is carried out by using the SVM learning device, and the identification result is acquired, namely, the transformer sound or the human speech voice. According to the experiment result, the method can accurately identify the equipment sound and the non-equipment sound, and the method has high accuracy and stable performance.

Description

technical field [0001] The invention relates to a method for recognizing the sound and voice of a substation equipment. Background technique [0002] With the expansion of the scale of the national grid, the safe operation of the grid is becoming more and more important. Automated and intelligent detection methods have begun to replace the previous manual detection methods, which is also an important manifestation of unattended substations. [0003] Sound is produced by the vibration of an object. As an inherent signal emitted by an object when it vibrates, it must carry the structural information of the object itself. Substation equipment plays a vital role in power generation, transmission, and distribution. Substation equipment also emits its own unique sound during operation. For example, the transformer will emit a continuous and uniform "hum" sound under normal operating conditions. The sound produced is produced by the vibration of the vocal cords caused by the air...

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Application Information

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IPC IPC(8): G10L15/06G10L15/26
Inventor 付渊周原赵小鱼管文龙田月炜
Owner GUIYANG POWER SUPPLY BUREAU OF GUIZHOU POWER GRID CO LTD
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