Cable partial discharge feature extraction method based on wavelet packet survival index singular entropy
A feature extraction and cable partial discharge technology, applied in the field of power cables, can solve the problem of inaccurate partial discharge feature extraction and achieve the effect of improving the extraction accuracy
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[0042] to signals containing cable PD characteristics (such as figure 1 shown) and signals that do not contain cable PD characteristics (such as image 3 shown) as an example, verify it. The time to collect data is 2s.
[0043] 1. Use the HFCT sensor to collect the ground current signal of the cable sheath and convert it into a voltage signal, and use the analog-to-digital converter to convert the voltage signal into a 16-bit digital signal;
[0044] 2. Use a digital band-pass filter to filter the obtained 16-bit digital signal to obtain a 16-bit digital signal with a frequency range of 0 ~ 50MHz.
[0045] 3. Use MATLAB to perform DB4 wavelet packet 3 layers on the 16-bit digital signal ( ) decomposition, so that the different frequency components of the 16-bit digital signal are correspondingly distributed in different wavelet packet scales, and then the partial discharge feature information is extracted from the wavelet packet node coefficients obtained by the wavelet p...
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