Nov. 2021

Article Contents

Chinese Optics> 2021> 14(6): 1410-1416.

YANG Wen-chen, QIN Zeng-guang, LIU Zhao-jun, XU Yan-ping, LI Zhao, QU Shuai, CONG Zhen-hua, WANG Ze-qun. A Hilbert-Huang transform method for vibration localization based on a dual Mach-Zehnder distributed optical fiber sensor[J]. Chinese Optics, 2021, 14(6): 1410-1416. doi: 10.37188/CO.2021-0065

Citation:

YANG Wen-chen, QIN Zeng-guang, LIU Zhao-jun, XU Yan-ping, LI Zhao, QU Shuai, CONG Zhen-hua, WANG Ze-qun. A Hilbert-Huang transform method for vibration localization based on a dual Mach-Zehnder distributed optical fiber sensor[J].Chinese Optics, 2021, 14(6): 1410-1416.doi:10.37188/CO.2021-0065

Citation:

YANG Wen-chen, QIN Zeng-guang, LIU Zhao-jun, XU Yan-ping, LI Zhao, QU Shuai, CONG Zhen-hua, WANG Ze-qun. A Hilbert-Huang transform method for vibration localization based on a dual Mach-Zehnder distributed optical fiber sensor[J].Chinese Optics, 2021, 14(6): 1410-1416.doi:10.37188/CO.2021-0065

PDF( 4343 KB)

A Hilbert-Huang transform method for vibration localization based on a dual Mach-Zehnder distributed optical fiber sensor

doi:10.37188/CO.2021-0065

YANG Wen-chen^{1, 2,},
QIN Zeng-guang^{1, 2,,},
LIU Zhao-jun^{1, 2},
XU Yan-ping³,
LI Zhao^{1, 2},
QU Shuai^{1, 2},
CONG Zhen-hua^{1, 2},
WANG Ze-qun^{1, 2}

1.
School of Information Science and Engineering, Shandong University, Qingdao 266237, China
2.
Shandong Provincial Key Laboratory of Laser Technology and Application, Qingdao 266237, China
3.
Ministry of Education Key Laboratory of Laser and Infrared System Integration Technology, Shandong University, Qingdao 266237, China

Funds:Supported by Natural Science Foundation of Shandong Province (No. ZR2020MF110, No. ZR2020MF118)

More Information

Corresponding author:qinzengguang@sdu.edu.cn
Received Date:25 Mar 2021
Rev Recd Date:27 Apr 2021

Available Online:02 Jun 2021

Publish Date:19 Nov 2021

Abstract

Abstract

The dual Mach-Zehnder interferometer system has received extensive attention and applications due to its unique advantages such as simple optical path, high sensitivity and wide frequency response. However, it is very susceptible to external environmental noise and direct cross-correlation calculation method will lead to a large error. This paper proposes a data signal processing scheme based on Hilbert-Huang Transform (HHT) to realize high-precision distributed optical fiber vibration position detection. In this method, the eigenmode function is obtained by the empirical mode decomposition of the two received optical signals. The Hilbert transform and superposition of all eigenmode functions are performed to obtain the Hilbert spectrum, which can be clearly and intuitively extracted. It can accurately calculate the vibration position information by calculating the time delay caused by the vibration signal through cross-correlation. Compared with the traditional direct cross-correlation calculations, this method can effectively identify and extract the characteristic information caused by the vibration signal in the dual M-Z system. Thereby it can effectively reduce the impact of external environmental noise on the system and reduce the positioning error. This paper analyzes the related theory of the proposed method and builds a dual M-Z system for related experimental verification. The experimental results show that, compared with the traditional direct cross-correlation method, this method can effectively reduce the amount of calculation of cross-correlation data. At the same time, it can effectively improve the positioning accuracy of the vibration position. Under 10 MHz sampling rate, the positioning accuracy can reach 10 m. Therefore, the distributed optical fiber sensing technology based on the dual Mach-Zehnder interferometer system proposed in this paper has high application value.
- optical fiber sensing,
- Hilbert-Huang transform,
- dual Mach-Zehnder interferometer,
- positioning method,
- endpoint detection

FullText(HTML)

References (18)

References

[1]	ZHOU D W, DONG Y K, WANG B ZH, et al. Single-shot BOTDA based on an optical chirp chain probe wave for distributed ultrafast measurement[J]. Light: Science& Applications, 2018, 7: 32.
[2]	QU SH, QIN Z G, XU Y P, et al. Distributed sparse signal sensing based on compressive sensing OFDR[J]. Optics Letters, 2020, 12(45): 3288-3291.
[3]	WANG B ZH, FAN B H, ZHOU D W, et al. High-performance optical chirp chain BOTDA by using a pattern recognition algorithm and the differential pulse-width pair technique[J]. Photonics Research, 2019, 7(6): 652-658. doi:10.1364/PRJ.7.000652
[4]	高旭, 李舒航, 马庆林, 等. 光栅精密位移测量技术发展综述[J]. 中国光学,2019,12(4):741-752. doi:10.3788/co.20191204.0741 GAO X, LI SH H, MA Q L, et al. Development of grating-based precise displacement measurement technology[J]. Chinese Optics, 2019, 12(4): 741-752. (in Chinese) doi:10.3788/co.20191204.0741
[5]	吴妮珊, 夏历. 基于微波光子学的准分布式光纤传感解调技术[J]. 中国光学,2021,14(2):245-263. doi:10.37188/CO.2020-0121 WU N SH, XIA L. Interrogation technology for quasi-distributed optical fiber sensing systems based on microwave photonics[J]. Chinese Optics, 2021, 14(2): 245-263. (in Chinese) doi:10.37188/CO.2020-0121
[6]	徐国权, 熊代余. 光纤光栅传感技术在工程中的应用[J]. 中国光学,2013,6(3):306-317. XU G Q, XIONG D Y. Applications of fiber Bragg grating sensing technology in engineering[J]. Chinese Optics, 2013, 6(3): 306-317. (in Chinese)
[7]	CHEN Q N, LIU T G, LIU K, et al. An improved positioning algorithm with high precision for dual Mach–Zehnder interferometry disturbance sensing system[J]. Journal of Lightwave Technology, 2015, 33(10): 1954-1960. doi:10.1109/JLT.2015.2394494
[8]	陈伟民, 吴俊, 谭靖, 等. 双马赫-曾德尔分布式光纤传感系统定位技术[J]. 光学学报,2007,27(12):2128-2132. doi:10.3321/j.issn:0253-2239.2007.12.005 CHEN W M, WU J, TAN J, et al. Locating technology for twin Mach-Zehnder distributed optical fiber sensing system[J]. Acta Optica Sinica, 2007, 27(12): 2128-2132. (in Chinese) doi:10.3321/j.issn:0253-2239.2007.12.005
[9]	LIU K, MA P F, AN J CH, et al. Endpoint detection of distributed fiber sensing systems based on STFT algorithm[J]. Optics& Laser Technology, 2019, 114: 122-126.
[10]	刘琨, 何畅, 刘铁根, 等. 一种用于光纤周界安防系统的端点检测方法[J]. 光电子· ,2014,25(11):2136-2140. LIU K, HE CH, LIU T G, et al. An endpoint detection method for fiber perimeter security system[J]. Journal of Optoelectronics · Laser, 2014, 25(11): 2136-2140. (in Chinese)
[11]	吴红艳, 贾波, 卞庞. 光纤周界安防系统端点检测技术的研究[J]. 仪器仪表学报,2013,34(4):743-748. doi:10.3969/j.issn.0254-3087.2013.04.004 WU H Y, JIA B, BIAN P. Study on endpoint detection technology based on fiber perimeter security system[J]. Chinese Journal of Scientific Instrument, 2013, 34(4): 743-748. (in Chinese) doi:10.3969/j.issn.0254-3087.2013.04.004
[12]	MA CH Y, LIU T G, LIU K, et al. A continuous wavelet transform based time delay estimation method for long range fiber interferometric vibration sensor[J]. Journal of Lightwave Technology, 2016, 34(16): 3785-3789. doi:10.1109/JLT.2016.2583938
[13]	谢尚然, 邹琪琳, 屠亦军, 等. 长距离双M-Z干涉型振动传感器实时定位算法研究[J]. 光电子· ,2009,20(8):1020-1024. doi:10.3321/j.issn:1005-0086.2009.08.009 XIE SH R, ZOU Q L, TU Y J, et al. A study on real-time location method for long distance dual M-Z interferometric vibration sensor[J]. Journal of Optoelectronics · Laser, 2009, 20(8): 1020-1024. (in Chinese) doi:10.3321/j.issn:1005-0086.2009.08.009
[14]	YAN R Q, GAO R X. Hilbert-Huang transform-based vibration signal analysis for machine health monitoring[J]. IEEE Transactions on Instrumentation and Measurement, 2006, 55(6): 2320-2329. doi:10.1109/TIM.2006.887042
[15]	赵亮, 刘海, 徐世昌, 等. HHT和CWT用于光纤振动信号分析的对比研究[J]. 技术,2017,41(2):260-264. doi:10.7510/jgjs.issn.1001-3806.2017.02.023 ZHAO L, LIU H, XU SH CH, et al. Comparison study of optical fiber vibration signals using HHT and CWT[J]. Laser Technology, 2017, 41(2): 260-264. (in Chinese) doi:10.7510/jgjs.issn.1001-3806.2017.02.023
[16]	宋宇, 游海龙, 翁新武, 等. 基于希尔伯特-黄变换的信号处理方法[J]. 长春工业大学学报,2015,36(4):374-378. SONG Y, YOU H L, WENG X W, et al. Research on dignal processing method based on Hilbert-Huang transform[J]. Journal of Changchun University of Technology, 2015, 36(4): 374-378. (in Chinese)
[17]	贺龙周, 孙捷. 基于分布式传感光纤的模式识别及定位技术[J]. 计算机系统应用,2019,28(6):95-99. HE L ZH, SUN J. Pattern recognition and position technology based on distributed sensing fiber[J]. Computer Systems& Applications, 2019, 28(6): 95-99. (in Chinese)
[18]	苏鹏, 陈彦江, 闫维明. 基于HHT方法的桥梁振动时频分析[J]. 工程抗震与加固改造,2019,41(4):160-166. SU P, CHEN Y J, YAN W M. Time-frequency analysis of bridge vibration based on HHT method[J]. Earthquake Resistant Engineering and Retrofitting, 2019, 41(4): 160-166. (in Chinese)