[1]王志超,夏虹,朱少民,等.基于改进小波包的堆内构件振动信号去噪方法研究[J].应用科技,2018,45(06):74-79.[doi:10.11991/yykj.201804005]
 WANG Zhichao,XIA Hong,ZHU Shaomin,et al.Research on vibration signal de-noising method of PWR internals based on improved wavelet packet[J].Applied science and technology,2018,45(06):74-79.[doi:10.11991/yykj.201804005]
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基于改进小波包的堆内构件振动信号去噪方法研究(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第45卷
期数:
2018年06期
页码:
74-79
栏目:
核科学技术与应用
出版日期:
2018-11-05

文章信息/Info

Title:
Research on vibration signal de-noising method of PWR internals based on improved wavelet packet
作者:
王志超 夏虹 朱少民 杨波
哈尔滨工程大学 核安全与仿真技术国防重点学科实验室, 黑龙江 哈尔滨 150001
Author(s):
WANG Zhichao XIA Hong ZHU Shaomin YANG Bo
Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
关键词:
小波包去噪堆内构件流致振动有限元模型ANSYS频率重排网格划分频域分析
Keywords:
wavelet packet de-noisingPWR internalsflow induced vibrationfinite element modelANSYSfrequency rearrangementgrid partitionfrequency domain analysis
分类号:
TN911.72
DOI:
10.11991/yykj.201804005
文献标志码:
A
摘要:
针对压水堆核电站堆内构件振动监测系统缺少对非平稳监测信号进行有效处理的问题,提出了一种改进的小波包去噪算法,分别对阈值函数以及阈值选取等做出改进,用于更好地识别堆内构件工作状态。应用有限元软件(ANSYS)建立了压水堆堆内构件模型,通过模拟堆内构件流致振动仿真实验,得到吊篮外侧流体域压力激励,并获取了压水堆堆内构件的流致振动信号,验证了改进去噪算法的有效性。结果表明改进算法较好地保留了信号的高低频率特征,相比于传统方法显著提高了信噪比。
Abstract:
Aiming at the lack of effective non-stationary signal processing methods for the internals vibration monitoring system of nuclear plant, an improved de-noising algorithm based on wavelet packet was proposed to improve the threshold function and threshold selection to better identify the working state of the structure. We used the finite element software ANSYS to build the model of the PWR internals, carried out the simulation of the flow induced vibration (FIV) experiment of internals, then got the pressure excitation in the lateral fluid field of the barrel and fluid-induced vibration (FIV) signals of the internals, verifying the effectiveness of the improved de-noising algorithm. It shows that the method of the paper, which well preserves both the high and low frequency characteristics of the signals, significantly improves the signal to noise ratio through comparison with traditional method.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-04-10。
基金项目:国家自然科学基金项目(51379046);黑龙江省自然科学基金项目(E2017023)
作者简介:王志超(1994-),男,硕士研究生;夏虹(1962-),女,教授,博士生导师
通讯作者:夏虹,E-mail:xiahong@hrbeu.edu.cn
更新日期/Last Update: 2018-11-02