A hybrid de-noising method based on wavelet and median filter for aero-engines gas path electrostatic monitoring

Zhenhua Wen; Xincan Zhao

doi:10.1117/12.913570

1 October 2011 A hybrid de-noising method based on wavelet and median filter for aero-engines gas path electrostatic monitoring

Zhenhua Wen, Xincan Zhao

Author Affiliations +

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82852G (2011) https://doi.org/10.1117/12.913570
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

In this paper, we present a hybrid de-noising method to remove the noise of electrostatic monitoring signal. Firstly, we introduce the method which combines the advantage of the median filter and the wavelet multilevel threshold de-noise based on the Birge-Massart strategy, then present one methodology to compute the signal-to-noise by wavelet decomposing, and take the improved signal-to-noise as the evaluation index to compare the de-noise methods. The two illustrative examples are employed to validate the effectiveness of the hybrid method proposed in the paper.

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Zhenhua Wen and Xincan Zhao "A hybrid de-noising method based on wavelet and median filter for aero-engines gas path electrostatic monitoring", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82852G (1 October 2011); https://doi.org/10.1117/12.913570

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