A Transient Oscillation Parameter Identification Method Based on Morphological Filtering and Blind Source Separation
A technology based on morphology and blind source separation, applied in character and pattern recognition, special data processing applications, instruments, etc., to achieve the effect of simple calculation, accurate separation results, and small amount of calculation
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[0038] The present invention will be further described below in conjunction with specific examples.
[0039] like figure 1 As shown, the transient oscillation parameter identification method based on morphological filtering and blind source separation provided by the present invention includes the following steps:
[0040] 1) Generate the power quality disturbance signal y of transient oscillation o and add noise;
[0041] 2) Combine the hybrid morphological filter and the mean filter to denoise the transient disturbance signal, and use the morphological operator and the median filter to filter the signal:
[0042]
[0043] In the formula, g is a flat structure element, that is, g={0 1 ,0 2 ,...,0 l-1 ,0 l}, l is the length of the structural element, ° represents the opening operation, · represents the closing operation;
[0044] 3) Add the normal signal y with the same length and sampling frequency and phase as the disturbance signal n , forming the input matrix X:...
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