Research and application of new threshold de-noising algorithm for monitoring data analysis in nuclear power plant
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Under the complex condition of nuclear power plant, all kinds of influence factors may cause distortion of on-line monitoring data. It is essential that on-line monitoring data should be de-noised in order to ensure the accuracy of diagnosis. Based on the research of wavelet analysis and threshold de-noising, a new threshold denoising method based on Mallat transform is proposed. This method adopts factor weighing method for threshold quantization. Through the specific case of nuclear power plant, it is verified that the algorithm is of validity and superiority.
Keywordswavelet analysis Mallat transform threshold de-noising factor weighing method
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- BURRUS C S, GOPINATH R A, GUO H T. Introduction to wavelets and wavelet transforms [M]. New Jersey: Prentice Hall, 1998: 18–23.Google Scholar
- JOY J, PETER S, JOHN N. Denoising using soft thresholding [J]. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2013, 2(3): 1027–1032.Google Scholar
- CHENG L Z, WANG H X, LUO Y, et al. Wavelet analysis [M]. Beijing: Science Press, 2004: 87–95.Google Scholar
- ZHOU W. Wavelet analysis and application based on Matlab [M]. Xi’an: Xidian University Press, 2006: 87–125.Google Scholar