原子能科学技术Issue(11)：2045-2050,6.DOI:10.7538/yzk.2014.48.11.2045
基于自适应阈值的小波包在松动部件信噪分离中的研究
Research on Signal-noise Separation in Loose Parts Impact Signal Based on Autonomous Adaptive Threshold Wavelet Packets
摘要
Abstract
The characteristics of background vibration noise in reactor primary system were studied .Based on the traditional signal extraction methods from loose parts ,the de‐noising autonomous adaptive threshold was chosen by using the method of adding time window to wavelet packets coefficients .At the same time ,a new threshold pro‐cessing function was adapted to implement the de‐noise process to the loose parts impact signal ,and the collected impact signal of steel ball from experimental apparatus was analyzed .The results show that the method in this article can effectively track the change of noise intensity and restrain background noise ,and correctly identify impact signal of loose parts and extract relevant features .关键词
松动部件/小波包/自适应阈值/去噪Key words
loose part/w avelet packet/autonomous adaptive threshold/de-noising分类
能源科技引用本文复制引用
杨波,夏虹,张晓玉..基于自适应阈值的小波包在松动部件信噪分离中的研究[J].原子能科学技术,2014,(11):2045-2050,6.基金项目
国家自然科学基金资助项目 （）
