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浙江大学学报(工学版)
J4  2011, Vol. 45 Issue (8): 1366-1369    DOI: 10.3785/j.issn.1008-973X.2011.08.006
机械工程     
基于AR模型和小波变换的松动件定位方法
杨将新1, 程实1, 曹衍龙1, 郑华文1, 何元峰1, 谢永诚2
1. 浙江大学 现代制造工程研究所,浙江 杭州 310027；2.上海核工程研究设计院,上海 200233
Location estimation method for loose part based on AR model and wavelet transform
YANG Jiang-xin1, CHENG Shi1, CAO Yan-long1, ZHENG Hua-wen1, HE Yuan-feng1, XIE Yong-cheng2
1. Institute of Modern Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China; 2. Shanghai Nuclear Engineering Research & Design Institute, Shanghai 200233, China
 全文: PDF 
摘要：

针对检测到的松动件冲击信号含有许多噪声信号,为了有效提取有用信号,将基于AR模型和小波变换相结合的多重滤波方法应用于松动件冲击信号的提取.采用移动均值法滤除低频噪声,再利用AR模型对高频噪声进行白化处理,通过小波非线性阈值去噪,实现松动件跌落信号的提取.利用时域均方差获取信号到达各个传感器的时间差,并通过双曲线交汇法计算松动件跌落位置.在钢板试验台对所提出的方法进行试验验证,实验结果表明,所提方法对不同形状和不同质量的松动件都具有比较好的定位效果,且稳定性好.
关键词： AR模型;  小波变换;  去噪分析;  双曲线交汇法;  松动件    
Abstract:

To estimate the location of loose part,a method based on AR model and wavelet transform was used to extract the impact signal. Low-frequency noise was filtered through the moving average operation. At the same time, high-frequency noise was whitened with AR model. Then the impact signal was extracted by the wavelet nonlinear threshold value filtering method. Time difference of sensors and impact location of loose part can be got respectively using root mean square and hyperbola intersection method. The proposed test method was validated on the steel plate test-bed. And analysis indicates that the proposed method for loose parts with different shapes and different masses have a relatively good position effect and a stable performance.
Key words: AR mode    wavelet transform    denoising analysis    hyperbola intersection method    loose part
出版日期: 2011-08-30
:  TL 353  
基金资助:

国家高技术研究发展计划资助项目（2007AA04Z426）.
通讯作者: 曹衍龙，男，副教授.     E-mail: sdcaoyl@zju.edu.cn
作者简介: 杨将新（1965—），男，教授，从事机械工程及其自动化研究.E-mail：yangjx@zju.edu.cn
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引用本文:

杨将新, 程实, 曹衍龙, 郑华文, 何元峰, 谢永诚. 基于AR模型和小波变换的松动件定位方法[J]. J4, 2011, 45(8): 1366-1369.

YANG Jiang-xin,CHENG Shi,CAO Yan-long,ZHENG Hua-wen,HE Yuan-feng,XIE Yong-cheng. Location estimation method for loose part based on AR model and wavelet transform. J4, 2011, 45(8): 1366-1369.

链接本文:

http://www.zjujournals.com/xueshu/eng/CN/10.3785/j.issn.1008-973X.2011.08.006    或    http://www.zjujournals.com/xueshu/eng/CN/Y2011/V45/I8/1366

［1］ KIM Y B, KIM S J, CHUNG H D, et al. A study on technique to estimate impact location of loose part using wiignerville distribution ［J］. Progress in Nuclear Energy, 2003, 43(1/4): 261-266.

［2］ KRYTER R C, SHAHROKHI F. Summary of studies on methods for detecting, locating, and characterizing metallic loose parts in nuclear reactor coolant systems ［R］. U. S. Nuclear Regulator Commission Report MUREG/CR-2344, 1981.

［3］ PARK G Y, CHEON S W, LEE C K, et al. An estimation method for impact location of loose parts ［J］. Progress in Nuclear Energy, 2006, 48(4): 360-370.

［4］ KIM S J, HWANG I K, KIM T W, et al. An automatic diagnosis method for loose parts monitoring system ［C］∥2001 IEEE International Symposium on Industrial Electronics Proceedings. Pusan, South Korea: IEEE, 2001(3): 1971-1977.

［5］ 邓宗元,高银秋,杨震.一种基于LPC残差的语音激励脉冲逼近方法［J］.南京邮电大学学报:自然科学版,2006,26(5): 22-26.

DENG Zongyuan,GAO Yinqiu,YANG Zhen. A new method for approaching speech exciting pulse based on LPC residual ［J］.Journal of Najing University of Posts and Telecommunications :Natural Science, 2006, 26(5): 22-26.

［6］张玲华,郑宝玉,杨震.基于LPC分析的语音特征参数研究及其在说话人识别中的应用［J］.南京邮电学院学报,2005, 25(6): 1-6.

ZHANG Linhua, ZHENG Baoyu, YANG Zhen. A study of feature parameters based on LPC analysis with applications to speaker identification ［J］. Journal of Nanjing University of Posts and Telecommunications, 2005, 25(6): 1-6.

［7］ 兰芸,樊可清.基于小波阈值去噪方法的研究［J］.科技资讯,2008(2): 209-210.

LAN Yun,FAN Keqing. Research on denoise method based on wavelet threshold ［J］. Science & Technology Information , 2008(2): 209-210.

［8］ MALLAT S, HUANG W L. Singularity detection and processing with wavelet ［J］.IEEE Transaction on Information Theory, 1992, 38(2): 617-643.

［9］ GUO D F, ZHU W H, GAO Z M, et al. A study of wavelet thresholding denoising ［C］∥2000 5th International Conference Signal Processing Proceedings. Beijing: Publishing House of Electronics Industry, 2000, 329-332.

［10］ DONOHO D L. DeNoising by softthresholding ［J］. Transactions on Information Theory, 1995, 41(3): 613-627.

［11］ JEONG S N, WOO K H, HWANG E T, et al. A study on the estimation method of impact position using the frequency analysis ［J］. The 1st International Forum on Strategic Technology , 2006: 392-395.
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