上海交通大学学报（英文版） ›› 2017, Vol. 22 ›› Issue (3): 355-360.doi: 10.1007/s12204-017-1843-3
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)
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)
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.