A method for quickly identifying partial discharge patterns
A partial discharge and local technology, applied in the field of partial discharge pattern recognition, can solve the problems of complex detection methods, poor anti-interference ability, and insufficient sensitivity.
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[0059] The present invention will be described in detail below with reference to the accompanying drawings and examples.
[0060] as attached figure 1 As shown, the present invention provides a method for quickly identifying partial discharge patterns, and the specific implementation steps of the method are as follows:
[0061] Step 1, the digital signal of the partial discharge signal is normalized, and the digital signal sample S(x 1 ,x 2 ,x 3 …x n ),
[0062] (1) Partial discharge discharge energy characteristic value
[0063] The sampling rate of the system is known, and the sampling interval is set to t 0 , to calculate the partial discharge discharge energy eigenvalue:
[0064]
[0065] Among them, n represents the number of sample points in the partial discharge signal.
[0066] Calculate the maximum value of sample points:
[0067]
[0068] Normalized
[0069]
[0070] Get the normalized partial discharge signal S 1 =(x 1 ',x 2 ',x 3 ',...,x n '...
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