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Method for denoising acoustic testing data of porcelain insulator vibration based on wavelet decomposition threshold denoising

A technology of porcelain insulators and wavelet decomposition, which is applied in the direction of processing the response signal of detection, and can solve the problems of affecting the signal and unable to give the signal change.

Inactive Publication Date: 2013-02-13
STATE GRID HEBEI ELECTRIC POWER RES INST +2
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Problems solved by technology

Since the signal after noise interference may contain many spikes and mutations, the traditional Fourier analysis cannot give the change of the signal at a certain point in time, and any mutation of the signal on the time axis will affect the entire spectrum of the signal

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  • Method for denoising acoustic testing data of porcelain insulator vibration based on wavelet decomposition threshold denoising
  • Method for denoising acoustic testing data of porcelain insulator vibration based on wavelet decomposition threshold denoising
  • Method for denoising acoustic testing data of porcelain insulator vibration based on wavelet decomposition threshold denoising

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Embodiment Construction

[0029] The wavelet decomposition threshold value denoising method of the present invention will be described in detail below with an example.

[0030] The invention provides a method for denoising the vibroacoustic detection data of porcelain insulators based on wavelet decomposition threshold value denoising, which provides a reliable data basis for subsequent data classification.

[0031] like image 3 , a sinusoidal signal with random noise entering after a period of sampling:

[0032] In order to remove the mixed noise, the present invention uses db3 wavelet to decompose the sine wave containing the noise signal to 6th order. The decomposition filter based on db3 wavelet is a low-pass filter and a high-pass filter. This step is to decompose the sinusoidal signal containing noise into the wavelet domain for multi-resolution wavelet decomposition. Since the sinusoidal signal and noise are decomposed by wavelet Afterwards, different characteristics are presented, so tha...

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Abstract

The invention discloses a method for denoising acoustic testing data of porcelain insulator vibration based on wavelet decomposition threshold denoising. The method comprises the following steps: using a vibration acoustic method to detect a porcelain insulator to acquire a porcelain insulator vibration response signal containing noise; selecting a suitable wavelet basis function for the porcelain insulator vibration response signal containing noise and then carrying out multi-resolution wavelet decomposition, and transforming the vibration response from a time domain to a wavelet domain; rationally selecting a threshold function and a threshold, and machining a wavelet coefficient corresponding to the noise according to the threshold function; carrying out wavelet reconstruction, transforming the vibration response after denoising treatment to the time domain from the wavelet domain; storing the de-noised vibration response and sorting an acoustic testing result of the porcelain insulator vibration. According to the method, the noise in the acoustic testing data of the porcelain insulator vibration can be effectively filtered, so that sorting accuracy is improved.

Description

technical field [0001] The invention relates to a method for noise reduction of porcelain insulator vibration acoustic detection data based on wavelet decomposition threshold value denoising, which can eliminate the noise mixed in the data of porcelain insulator detection by acoustic vibration method, and avoid the influence of noise on classification results. Background technique [0002] When the vibroacoustic method is used to detect insulators, the stored test result data is a sound file in WAV format. Various factors in the test process will cause random noise signals to be mixed into the test data. The existence of these noise signals directly affects the test results. The accuracy and reliability of the classification affect the assessment of the mechanical performance status of porcelain insulators. Therefore, there is an urgent need for a method that can effectively filter the mixed random noise signal. [0003] In recent years, signal denoising processing based on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/44
Inventor 刘长福郝晓军牛晓光王强敬尚前董国振
Owner STATE GRID HEBEI ELECTRIC POWER RES INST
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