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

杨文晨; 秦增光; 刘兆军; 徐演平; 李钊; 渠帅; 丛振华; 王泽群

doi:10.37188/CO.2021-0065

Volume 14 Issue 6

Nov. 2021

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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

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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

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References(18)

References

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