Paper Title:
Application of Wavelet Method on Preprocessing of Voltage Signals
  Abstract

Wavelet denoising method is applied in the measurement voltage signals in this paper. Noise reduction is important for signal preprocessing in order to achieve many objects such as the improvement of accuracy of modal analysis and electrical parameter identification, the effective extraction of features and auto-matic classification of different kinds of signals. The voltage signals measured from one 35Kv bus are used for the preprocessing research. The denoising effect is evaluated by three parameters, i.e. signal to noise ratio, mean squared error, and capture ability of step points. Compared with the traditional methods including mean filtering and medial filtering, wavelet method is superior in signal to noise ratio and mean squared error.

  Info
Periodical
Edited by
Zhu Zhilin & Patrick Wang
Pages
272-276
DOI
10.4028/www.scientific.net/AMM.40-41.272
Citation
L. D. Wang, N. Zhu, J. K. Li, "Application of Wavelet Method on Preprocessing of Voltage Signals", Applied Mechanics and Materials, Vols. 40-41, pp. 272-276, 2011
Online since
November 2010
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