Extraction of Online Monitoring Signals by Lifting Wavelet in Digital Substation

Abstract:

On the requirement of fast signal processing and transmitting in time in digital substation, this paper presents an approach of lifting wavelet for extracting online monitoring signals of the electrical plants in digital substation. The lifting wavelet de-nosing algorithm is based on a threshold estimation formula based on Stain unbiased risk estimation (SURE). The de-noising experiments of stationary signals and non-stationary signal, i.e. simulative partial discharge (PD) signal are presented. The results show that the white noise can be removed effectively by the proposed lifting wavelet. Meanwhile, the lifting wavelet is a much less time-consuming scheme and exhibits a promising prospect in practical application.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 1052-1058
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.1052
• Online since: December 2012
• Authors: Peng Bo Wang, Ping Chen
• Keywords: Digital Substation, Electrical Plant, Fast Signal Processing, Intelligent Monitoring, Lifting Wavelet

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