Advanced Search
ZHAO Liang, LIU Hai, XU Shichang, WANG Jiannian. Comparison study of optical fiber vibration signals using HHT and CWT[J]. LASER TECHNOLOGY, 2017, 41(2): 260-264. DOI: 10.7510/jgjs.issn.1001-3806.2017.02.023
Citation: ZHAO Liang, LIU Hai, XU Shichang, WANG Jiannian. Comparison study of optical fiber vibration signals using HHT and CWT[J]. LASER TECHNOLOGY, 2017, 41(2): 260-264. DOI: 10.7510/jgjs.issn.1001-3806.2017.02.023
shu

Comparison study of optical fiber vibration signals using HHT and CWT

  • School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China

More Information
  • Received Date: January 25, 2016
  • Revised Date: March 09, 2016
  • Published Date: March 24, 2017
    Graphical Abstract
    • Abstract
  • In order to improve the ability of accurate early warning of optical fiber security system, Hilbert-Huang transform (HHT) technology was adopted to analyze the principle of optical fiber vibration sensor's signal. Time-frequency spectrums of different signals were obtained. The comparison of time-frequency spectrums of optical fiber vibration signals by HHT and continuous wavelet transform (CWT) was analyzed. The results show that HHT has an important value in time-frequency analysis of optical fiber security system.
    • FullText(HTML)
    • References (15)
  • [1]
    ZHANG L N, LI F Ch, PENGB Q, et al. The basic principle of HHT method and application discussion[J]. Journal of East China Institute of Technology, 2013, 36(4):419-423(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hddzxyxb201304013
    [2]
    ZHONG Y M, QIN Sh R, TANG B P. Study on the marginal spectrum in Hilbert-Huang transform[J]. Systems Engineering and Electronics, 2004, 26(9):1323-1326(in Chinese).
    [3]
    LIU Sh G, LI Z R, LIU Q. Study of self-mixing interference signal processing based on time-frequency analysis[J].Laser Technology, 2009, 33(6):626-629(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jgjs200906028
    [4]
    JIANG Sh Ch, CAO Y Q, SUI Q M, et al. Study on improved Hilbert-Huang transform-based ultra-narrow-bandwidth laser gas detection noise elimination[J]. Acta Optica Sinica, 2014, 34(1):1-6(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxxb201401011
    [5]
    CAO L D, LIU X, QIAO F F, et al. Testing of pressure and temperature sensor based on all fiber Mach-Zehnder interferometer[J].Optics & Optoelectronics Technology, 2015, 13(3):34-37(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxygdjs201503008
    [6]
    YU X M, LUO G M, ZHU Zh M, et al. The multi target recognition of intrusion signal of perimeter security with distributed fiber-optic sensor[J]. Opto-Electronic Engineering, 2014, 41(1):36-41(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gdgc201401007
    [7]
    FAN L Y, ZHAO R F, JIANG W W, et al. M-Z interferometer using a twin-core fiber for strain sensing[J]. Journal of Optoelectronics·Laser, 2010, 21(10):1488-1491(in Chinese).
    [8]
    OMID B, SOHEIL R. Enhanced Hilbert-Huang transform and itsapplication to modal identification[J]. The Structural Design of Tall and Special Buildings, 2014, 23(4):239-253. DOI: 10.1002/tal.v23.4
    [9]
    CHANG C C, HSIAO T C, HSU H Y. Frequency range extension of spectral analysis of pulse rate variability based on Hilbert-Huang transform[J]. Medical & Biological Engineering & Computing, 2014, 52(4):343-351. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=e3d9c6292c36fd73247ea251e22d2594
    [10]
    PU L, YE Y T, WU Y F, et al. Laser interferometer signal processing based on empirical mode decomposition[J].Laser Technology, 2011, 35(3):299-301(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jgjs201103003
    [11]
    JI Ch P, ZHAO L N. Research of wave filter method of human sphygmus signal[J].Laser Technology, 2016, 40(1):42-46(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jgjs201601011
    [12]
    ZHANG Y P. HHT analysis and application of blasting vibration signal[M].Beijing:Metallurgical Industry Press, 2008:32-81(in Chinese).
    [13]
    HOU R N. Application of Hilbert transformin reconstruction of in-line digital holography[J].Laser Technology, 2013, 37(3):362-364(in Chinese).
    [14]
    GAO Y F, GUO H J, SONG X F, et al. Digital holographic phase reconstruction technology based on Hilbert transform[J].Laser Technology, 2015, 39(2):266-269(in Chinese). http://d.old.wanfangdata.com.cn/Periodical/wlxb201419020
    [15]
    LI X Y, HUANG Zh H, ZHANG H, et al. Phase analysis method based on Hilbert transform in dynamic speckle pattern interferometry[J]. Journal of Optoelectronics·Laser, 2015, 26(6):1111-1117(in Chinese).
    • Related Articles

  • Related Articles

    [1]TAN Yuan, GAN Xuehui, ZHANG Dongjian, LIU Xiangyu, LIAO He. Laser Doppler vibration signal processing based on wavelet denoising[J]. LASER TECHNOLOGY, 2022, 46(1): 129-133. DOI: 10.7510/jgjs.issn.1001-3806.2022.01.014
    [2]WANG Zhenwei, KONG Yong, DING Wei, WU Hu, LI Hua. Composite optical fiber bring about remote sensitive to vibration of φ-OTDR[J]. LASER TECHNOLOGY, 2021, 45(4): 436-440. DOI: 10.7510/jgjs.issn.1001-3806.2021.04.005
    [3]LUO Yijun, YIN Qi, LI Jin. Fiber optic vibration positioning system based on recursive least-squares algorithm[J]. LASER TECHNOLOGY, 2020, 44(2): 161-166. DOI: 10.7510/jgjs.issn.1001-3806.2020.02.004
    [4]ZOU Dongbo, LIU Hai, ZHAO Liang, KANG Yingjie. Research of signal recognition of distributed optical fiber vibration sensors[J]. LASER TECHNOLOGY, 2016, 40(1): 86-89. DOI: 10.7510/jgjs.issn.1001-3806.2016.01.019
    [5]TANG Wenjing, YIN Xinda, YAN Qizhong, XIONG Yan, LIU Junrong, DONG Lei. Application of clustering analysis in distributed fiber optical vibration sensing systems[J]. LASER TECHNOLOGY, 2015, 39(6): 854-857. DOI: 10.7510/jgjs.issn.1001-3806.2015.06.026
    [6]WANG Jing, HE Fengtao, CAO Jinfeng, ZHU Yuhan, ZUO Bo. Research of laser speckle suppression method based on fiber vibration[J]. LASER TECHNOLOGY, 2015, 39(5): 666-668. DOI: 10.7510/jgjs.issn.1001-3806.2015.05.017
    [7]WANG Xiaolin, HE Fengtao, JIA Qiongyao, LIU Jia. Laser speckle control based on optical fiber vibration[J]. LASER TECHNOLOGY, 2014, 38(2): 177-180. DOI: 10.7510/jgjs.issn.1001-3806.2014.02.007
    [8]JING Ning, WANG Zhi-bin, ZHANG Ji-long, CHEN Yuan-yuan. 弹光调制非线性光程差干涉信号的快速反演[J]. LASER TECHNOLOGY, 2012, 36(2): 268-270,288. DOI: 10.3969/j.issn.1001-3806.2012.02.033
    [9]PU Liang, YE Yu-tang, WU Yun-feng, WANG Yu-lin, LIU Li. Laser interferometer signal processing based on empirical mode decomposition[J]. LASER TECHNOLOGY, 2011, 35(3): 299-301,311. DOI: 10.3969/j.issn.1001-3806.2011.03.003
    [10]GUO Chang-ying, ZHENG Ke. Denoising optical interferometry signal based on wavelet transform threshold[J]. LASER TECHNOLOGY, 2009, 33(5): 506-508. DOI: 10.3969/j.issn.1001-3806.2009.05.027

  • Cited by

    Periodical cited type(3)

    1. 曲洪权，魏冰冰，张正，盛智勇. 基于FDM能量熵的特征提取方法及其在光纤振动识别中的应用. 激光与光电子学进展. 2021(07): 168-175 .
    2. 杨文晨，秦增光，刘兆军，徐演平，李钊，渠帅，丛振华，王泽群. 基于希尔伯特-黄变换的双马赫-曾德分布式光纤传感振动定位方法. 中国光学. 2021(06): 1410-1416 .
    3. 王艳歌，程丹，刘继红. 改进的HHT变换在光纤振动模式识别中的应用. 现代电子技术. 2019(09): 22-25 .

    Other cited types(1)

Catalog

    Get Citation
    PDF
    XML
    Article views (4) PDF downloads (4) Cited by(4)
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles

    Links：

    more+

    Website Copyright © Editorial Department of LASER TECHNOLOGY 蜀ICP备10038222号-1

    Address：No. 7, Section 4, Renmin South Road, Chengdu, Sichuan Province, China Post Code：610041

    Tel：028-68011091/68011046 Email: jgjs@vip.163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd. 

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return