Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system

CUI Hong-liang; LIU Ye; YU Miao; CHANG Tian-ying; CHEN Jian-dong

doi:10.3788/OPE.20152313.0070

您当前的位置：

首页 >

文章列表页 >

Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system

更新时间：2020-08-13

- Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system
- Optics and Precision Engineering Vol. 23, Issue 10z, Pages: 71-76(2015)
- 作者机构：
  
  吉林大学仪器科学与电气工程学院,吉林长春,130026
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20152313.0070
  CLC： TH825;TN253
- Received：07 May 2015，
  
  Revised：27 May 2015，
  
  Published：14 November 2015
- 稿件说明：
移动端阅览
崔洪亮, 刘野, 于淼等. 小波降噪在分布式光纤干涉振动检测及定位系统中的应用[J]. 光学精密工程, 2015,23(10z): 71-76

CUI Hong-liang, LIU Ye, YU Miao etc. Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 71-76
崔洪亮, 刘野, 于淼等. 小波降噪在分布式光纤干涉振动检测及定位系统中的应用[J]. 光学精密工程, 2015,23(10z): 71-76 DOI： 10.3788/OPE.20152313.0070.

CUI Hong-liang, LIU Ye, YU Miao etc. Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 71-76 DOI： 10.3788/OPE.20152313.0070.

摘要

讨论了Sagnac型分布式光纤干涉振动传感(DVS)系统的相位解调、定位原理以及对干涉信号的小波去噪原理。针对该系统易受环境噪声的干扰

从而产生误报或定位误差较大等现象

采用小波分析方法实现了对干涉信号的小波去噪和对振动信号的准确检测及精确定位。实验结果表明:针对振动信号的时频特性

选择合适的小波分析方法可有效提升检测信号的信噪比

提高振动检测的准确率

降低系统误报率

保证系统定位误差在±50 m以内。与其他降噪方法相比

小波变换方法在系统信号处理中的应用

不仅提高了振动信号检测的准确率及空间分辨率

而且减小了系统定位误差

可适用于同类型的分布式振动检测系统。

Abstract

The phase modulation and positioning principle of a Distributed Optical Fiber Interferometric Vibration Sensing (DVS) system are discussed and the wavelet denoising principle for interferometric signals is introduced. As the DVS system is vulnerable to environmental noise interference and easy to produce false alarms or larger positioning errors

the paper uses the wavelet analysis method to implement the denoise of interferometric signals and the exact detection and accurate position of vibration signals.The experimental results show that proper wavelet analysis method selected for time-frequency characteristics of vibration signals improves the signal-to-noise ratio (SNR)of the detection signal and variation detection accuracy obviously

and decreases the false alarm rate of the system. Meanwhile

it ensures the system positioning error within ±50 m. As compared with other denoising methods

the application of wavelet transform in signal processing improves the accuracy and spatial resolution of the vibration detection and reduces the system positioning error. The method is applicable for the same types of distributed vibration sensing systems.

关键词

Keywords

references

CHEN W, WU J, TAN J. Locating technology for twin Mach-Zehnder distributed optical fiber sensing system[J]. Acta Optica Sinica, 2007, 27(12): 2128-2132.

WANG H, SUN Q ZH, LI X L. Improved location algorithm for multiple intrusions in distributed Sagnac fiber sensing system[J]. Optics Express, 2014, 22(7) : 7587-7597.

HOFFMAN P R, KYZYK M G. Position determinaton of an acoustic burst along a Sagnac interferometer[J]. Journal of Lightwave Technology, 2004, 22(2): 494-498.

曾周末,刘芳,封皓,等 .基于3×3耦合器的双马赫-曾德尔干涉仪数字化相位解调[J]. 光学精密工程,2014, 22(6): 1410-1417. ZENG ZH M,LIU F, FENG H, et al.. Digitalized demodulation based on 3×3 coupler for dual Mach-Zehnder fiber interferometer[J]. Opt. Precision Eng., 2014, 22(6): 1410-1417. (in Chinese)

曾周末,张溪默,封皓,等 .双Mach-Zehnder光纤干涉传感系统中的偏振衰落控制[J]. 光学精密工程,2012,20:468-476. ZENG ZH M, ZHANG X M, FENG H, et al.. Control of polarization fading for dual Mach-Zehnder fiber interferometric sensing system [J]. Opt. Precision Eng., 2012,20:468-476. (in Chinese)

CHEN W ZH, WANG B W, ZHAN H. Wavelet denoising techniques with power spectral density to vibration signal[J]. Kybernetes, 2013, 42(4): 604-613.

SCHUKIN E L, ZAMARAEV R U, SCHUKIN L I. The optimisation of wavelet transform for the impulse analysis in vibration signals[J]. Mechanical Systems and Signal Processing, 2004, 18 (6): 1315-1333.

惠飞,史昕,赵祥模,等 .基于改进阈值函数的小波去噪算法研究[J]. 现代电子技术,2011(12):61-64. HUI F, SHI X, ZHAO X M. Research of wavelet denoising algorithm based on improved threshold function[J]. Modern Electronics Technique, 2011(12):61-64. (in Chinese)

李颖,陈兴林,宋申民. 小波神经网络用于光纤陀螺漂移误差辨识[J]. 光学精密工程,2007,15(5):773-778. LI Y, CHEN X L, SONG SH M. Application of wavelet neural network for identification of drifts errors in fiber optical gyroscope[J]. Opt. Precision Eng., 2007, 15(5): 773-778. (in Chinese)

任广. 干涉型分布式光纤周界及其定位技术研究[D].武汉:武汉邮电科学究院,2014:23-27. REN G. Study on Interferometric Distributed Aptical-fiber Perimeter and Perturbation Location Technology[D]. Wu Han:Wuhan Research Institute of Posts and Telecommunications,2014: 23-27. (in Chinese)

许海燕. 分布式光纤振动传感器及其定位技术研究[D].上海:复旦大学,2011:45-60. XU H Y. Distributed Optical Fiber Vibration Sensor and Positioning Technology Research [D]. Shanghai: Fudan University, 2011: 45-60. (in Chinese)

LI J. Research on the weak signal detection based on adaptive filtering of wavelet transform[J]. Procedia Engineering, 2011, 15: 2583-2587.

SAN EMETERIO J I, RODRIGUEZ-HERNANDEZ M A. Wavelet denoising of ultrasonic A-scans for detection of weak signals[C]. 19th International Conference on Systems, Signal and Image Processing, 2012: 48-51.

吴光文,王昌明,包建东. 基于自适应阈值函数的小波阈值去噪方法[J]. 电子与信息学报,2014,36(6):1340-1347. WU G W, WANG CH M, BAO J D. A wavelet threshold denoising algorithm based on adaptive threshold function[J]. Journal of Electronics & Information Technology, 2014, 36(6):1340-1347. (in Chinese)

Views

642

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction

Wavelet dehazeformer network for road traffic image dehazing method

Multi-scale decomposition of point cloud data based on wavelet transform

Coarse-to-fine underwater image enhancement based on multi-level wavelet transform

Sensing demodulation system using US-FBG spectral linear region

Related Author

ZHANG Zhihao

DU Lixia

HOU Yue

HAO Ziwei

YIN Jie

XIA Ping

LI Ziyi

LEI Bangjun

Related Institution

College of Electronic and Information Engineering， Lanzhou Jiaotong University

College of Computer and Information Technology， Three Gorges University

Hubei Key Laboratory of Intelligent Vision based Monitoring for Hydroelectric Engineering， Three Gorges University

Beijing Institute of Aerospace Metrology and Testing Technology

College of Mechanical & Electrical Engineering， Nanjing University of Aeronautics and Astronautics

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰