Abstract
The excursion of fractal parameters is the main obstacle to the application of classifiers trained by fractal-parameter-based features. In order to solve this problem, the characteristics of fractal parameters are studied based on partial discharge ultra-high-frequency signals mathematical models. One solution to this problem based on symlets wavelet has been put forward. And the result of implementation to signals with different signal-to-noise-ratio shows that it’s a promising approach to expand the applicability of the classifier.
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