An Eigenvalue Extraction Method Applied to Ultrasonic Partial Discharge Detection
An extraction method and partial discharge detection technology, applied in the ultrasonic field, can solve the problems of inaccurate signal analysis results, limited wavelet base length, and inability to judge signals, so as to solve false IMF components, solve modal aliasing, and improve accuracy Effect
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[0037] Such as figure 2 As shown, a eigenvalue extraction method applied to ultrasonic partial discharge detection, the method specifically includes the following steps:
[0038] Step 1 Wavelet packet decomposition and reconstruction
[0039] The compactly supported wavelet Daubechies3 (db3) wavelet base is used to decompose and reconstruct the three-layer wavelet packet of the signal, and obtain 8 narrow-band signals of different frequency bands.
[0040] The structure diagram of the three-layer wavelet packet decomposition is as follows figure 1 As shown, let the original signal S be the (0, 0) node, and (1, 0) represent the low-frequency coefficient S of the first layer of wavelet packet decomposition 10 , (1, 1) represents the high-frequency coefficient S of the first layer of wavelet packet decomposition 11 , (2, 0) represents the low-frequency coefficient S of the second layer wavelet packet decomposition 20 , (2, 1) represents the high-frequency coefficient S of th...
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