基于小波变换的声表面波斐索光纤干涉仪
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- 英文论文题名：Fizeau fiber interferometer for ultrasonic surface waves by using wavelet transformations
- 论文作者：田成 ; 赵秋玉 ; 刘欢 ; 樊亚仙 ; 陶智勇
- 英文论文作者：TIAN Cheng ; ZHAO Qiu-yu ; LIU Huan ; FAN Ya-xian ; TAO Zhi-yong ; Key Lab of In-fiber Integrated Optics ; Ministry of Education of China ; Harbin Engineering University
- 年：2016
- 作者机构：哈尔滨工程大学理学院;
- 论文关键词：光线斐索干涉仪 ; 小波变换 ; 声表面波
- 英文论文关键词：wavelet transformations ; Fizeau fiber interferometer ; ultrasonic surface waves
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：TH744.3
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：4
- 文件大小：426k
- 原文格式：D
- 会议级别：全国
摘要
本文报道了一套利用斐索光纤干涉仪对固体声表面波进行准确检测的系统。该系统基于小波变换去噪,能够实现对超声波在固体表面上引起微弱振动的准确检测。斐索干涉仪基于共光路干涉原理设计,克服了其它干涉仪对光纤臂长要求严格且易受温度影响等缺点,具有结构简单、容易调节、灵敏度高和检测面积小等诸多优点。然而,由于较高的检测灵敏度,该表面波检测装置也极易受外界扰动影响,导致信号不稳定、信噪比低等问题。本文利用小波变换方法对干涉仪输出信号进行去噪,极大地提高了该检测方法的信噪比,为固体声表面波的检测提供了高灵敏度和高信噪比的实验系统。
We report a Fizeau fiber interferometer system to detect the ultrasonic surface wave accurately. The system is capable of detecting the micro-vibration produced by ultrasonic wave propagating on the surface of solid. The Fizeau fiber interferometer system avoids the disadvantages of other fiber interferometers for surface ultrasonic wave by using the principle of common light path. The interferometer has some advantages such as simplicity of structure, easiness of control, high sensitivity and capability of detecting the vibration of micro area, but at the same time, has some disadvantages such as instability by disturbance of external environment and low signal noise ratio. We implemented the wavelet transformation to the signals of ultrasonic waves to increase the signal noise ratio significantly. For the measurements of ultrasonic surface waves, the proposed experimental system is highly sensitive and the signal noise ratio is definitely improved by the signal processing method.
We report a Fizeau fiber interferometer system to detect the ultrasonic surface wave accurately. The system is capable of detecting the micro-vibration produced by ultrasonic wave propagating on the surface of solid. The Fizeau fiber interferometer system avoids the disadvantages of other fiber interferometers for surface ultrasonic wave by using the principle of common light path. The interferometer has some advantages such as simplicity of structure, easiness of control, high sensitivity and capability of detecting the vibration of micro area, but at the same time, has some disadvantages such as instability by disturbance of external environment and low signal noise ratio. We implemented the wavelet transformation to the signals of ultrasonic waves to increase the signal noise ratio significantly. For the measurements of ultrasonic surface waves, the proposed experimental system is highly sensitive and the signal noise ratio is definitely improved by the signal processing method.
引文
[1]Wild G,Hinckley S.Acoustic-ultrasonic optical fiber sensors:overview and state-of-the-art[J].IEEE Sensors Journal,2008,8(7):1184-1193.
[2]刘娟,丁克勤.光纤声发射传感器的研究现状与展望[J].传感器与微系统,2010(9):5-7.
[3]Shi Y,Deng L,Shan N,et al.Application Study of Optical Fiber FP Sensing System for Non-contact Measurement of Surface Defects[C]//Network Computing and Information Security(NCIS),2011 International Conference on.IEEE,2011,1:134-137.
[4]Pelivanov I,Buma T,Xia J,et al.Non-destructive evaluation of fiber-reinforced composites with a fast 2D fiber-optic laser-ultrasound scanner[C]//41ST ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION:Volume 34.AIP Publishing,2015,1650(1):43-50.
[5]Ni C,Dong L,Shen Z,et al.The experimental study of fatigue crack detection using scanning laser point source technique[J].Optics&Laser Technology,2011,43(8):1391-1397.
[6]严刚,徐晓东,沈中华,等.激光超声表面缺陷检测的实验方法[J].光电子·激光,2006,17(1):107-110.
[7]冯先成.斐索光纤干涉仪在超声检测中的应用[J].光学与光电技术,2006,4(4):53-55.
[8]王远干,喻洪麟,朱传新.M周期分数傅里叶变换的光栅信号去噪方法[J].光电工程,2006,33(7):110-114.
[9]司祯祯.傅里叶变换与小波变换在信号去噪中的应用[J].电子设计工程,2011,19(4):155-157.
[10]尹超.傅里叶变换在桥梁伸缩缝位移监测数据去噪上的应用[J].中国高新技术企业,2015(25):79-81.
[11]正兴.小波分析算法与应用[M].西安交通大学出版社,1998.
[12]易飞,曹源文.小波去噪在振动压路机振动信号处理中的应用[J].重庆交通大学学报:自然科学版,2011,30(1):162-165.
[13]程旭文,黄建农,董志峰.小波去噪在掘进机振动信号处理中的应用[J].煤矿机械,2015,36(7):230-232.
[14]陈晓曦,王延杰,刘恋.小波阈值去噪法的深入研究[J].激光与红外,2012,42(1):105-110.
[15]李红延,周云龙,田峰,等.一种新的小波自适应阈值函数振动信号去噪算法[J].仪器仪表学报,2015(2015年10):2200-2206.
[2]刘娟,丁克勤.光纤声发射传感器的研究现状与展望[J].传感器与微系统,2010(9):5-7.
[3]Shi Y,Deng L,Shan N,et al.Application Study of Optical Fiber FP Sensing System for Non-contact Measurement of Surface Defects[C]//Network Computing and Information Security(NCIS),2011 International Conference on.IEEE,2011,1:134-137.
[4]Pelivanov I,Buma T,Xia J,et al.Non-destructive evaluation of fiber-reinforced composites with a fast 2D fiber-optic laser-ultrasound scanner[C]//41ST ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION:Volume 34.AIP Publishing,2015,1650(1):43-50.
[5]Ni C,Dong L,Shen Z,et al.The experimental study of fatigue crack detection using scanning laser point source technique[J].Optics&Laser Technology,2011,43(8):1391-1397.
[6]严刚,徐晓东,沈中华,等.激光超声表面缺陷检测的实验方法[J].光电子·激光,2006,17(1):107-110.
[7]冯先成.斐索光纤干涉仪在超声检测中的应用[J].光学与光电技术,2006,4(4):53-55.
[8]王远干,喻洪麟,朱传新.M周期分数傅里叶变换的光栅信号去噪方法[J].光电工程,2006,33(7):110-114.
[9]司祯祯.傅里叶变换与小波变换在信号去噪中的应用[J].电子设计工程,2011,19(4):155-157.
[10]尹超.傅里叶变换在桥梁伸缩缝位移监测数据去噪上的应用[J].中国高新技术企业,2015(25):79-81.
[11]正兴.小波分析算法与应用[M].西安交通大学出版社,1998.
[12]易飞,曹源文.小波去噪在振动压路机振动信号处理中的应用[J].重庆交通大学学报:自然科学版,2011,30(1):162-165.
[13]程旭文,黄建农,董志峰.小波去噪在掘进机振动信号处理中的应用[J].煤矿机械,2015,36(7):230-232.
[14]陈晓曦,王延杰,刘恋.小波阈值去噪法的深入研究[J].激光与红外,2012,42(1):105-110.
[15]李红延,周云龙,田峰,等.一种新的小波自适应阈值函数振动信号去噪算法[J].仪器仪表学报,2015(2015年10):2200-2206.