Application of Wavelet Method on Preprocessing of Voltage Signals

Abstract:

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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 et al., "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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Price:

$35.00

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