Transformer partial discharge fault diagnosis method based on hierarchical threshold synchrosqueezed wavelet
A technology of synchronously extruding wavelet and layered threshold, which is applied in the direction of instruments, measuring electricity, and measuring electrical variables, etc., to achieve the effects of extensive promotion value, strong scalability and adaptability, and improved feature extraction and fault diagnosis effects
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[0044] figure 1 It is a flow chart of the transformer partial discharge fault diagnosis method based on the layered threshold synchronous squeeze wavelet in the embodiment of the present invention.
[0045] Such as figure 1 As shown, the transformer partial discharge fault diagnosis method based on hierarchical threshold synchronous squeeze wavelet has the following steps:
[0046] Step 1: Perform SWT decomposition on the partial discharge signal f(t) of the transformer to obtain the SWT decomposition coefficient Go to step two.
[0047] Suppose the transformer partial discharge signal f(t) is
[0048]
[0049] where f k (t)=A k (t)cos[2πφ k (t)], A k (t) represents the signal amplitude, φ k (t) represents the signal phase, and n(t) represents Gaussian white noise.
[0050] First, the continuous wavelet transform is performed on the partial discharge signal of the transformer
[0051]
[0052] Among them, ψ(t) represents the wavelet basis function used, paramete...
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