Research and Application of New Threshold De-noising Algorithm for Monitoring Data Analysis in Nuclear Power Plant

doi:10.1007/s12204-017-1843-3

Journal of shanghai Jiaotong University (Science) ›› 2017, Vol. 22 ›› Issue (3): 355-360.doi: 10.1007/s12204-017-1843-3

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Research and Application of New Threshold De-noising Algorithm for Monitoring Data Analysis in Nuclear Power Plant

CUI Yan* (崔妍), CHEN Shijun (陈世均), QU Meng (瞿勐), HE Shanhong (何善红)

(Suzhou Nuclear Power Research Institute, Shenzhen 518000, Guangdong, China)
(Suzhou Nuclear Power Research Institute, Shenzhen 518000, Guangdong, China)

Online:2017-06-02 Published:2017-06-04
Contact: CUI Yan (崔妍) E-mail:kaijie luo@163.com

Abstract

Abstract: 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.

Key words: wavelet analysis| Mallat transform| threshold de-noising| factor weighing method

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.

关键词: wavelet analysis| Mallat transform| threshold de-noising| factor weighing method

CUI Yan* (崔妍), CHEN Shijun (陈世均), QU Meng (瞿勐), HE Shanhong (何善红). Research and Application of New Threshold De-noising Algorithm for Monitoring Data Analysis in Nuclear Power Plant[J]. Journal of shanghai Jiaotong University (Science), 2017, 22(3): 355-360.

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Research and Application of New Threshold De-noising Algorithm for Monitoring Data Analysis in Nuclear Power Plant

Research and Application of New Threshold De-noising Algorithm for Monitoring Data Analysis in Nuclear Power Plant

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