Research and application of new threshold de-noising algorithm for monitoring data analysis in nuclear power plant

被引：8
|
作者：
Cui Y. [1 ]
Chen S. [1 ]
Qu M. [1 ]
He S. [1 ]
机构：
[1] Suzhou Nuclear Power Research Institute, Guangdong, Shenzhen
来源：
Journal of Shanghai Jiaotong University (Science) | 2017年 / 22卷 / 3期
关键词：
factor weighing method; Mallat transform; threshold de-noising; wavelet analysis;
D O I：
10.1007/s12204-017-1843-3
中图分类号：
学科分类号：
摘要：
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. © 2017, Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：355 / 360
页数：5
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