Variational mode decomposition-based endpoint detection for distributed fiber interferometric vibration sensing systems

Pengfei Ma; Kun Liu; Junfeng Jiang; Zhenshi Sun; Liwang Zhang; Tiegen Liu

doi:10.1117/12.2539217

12 March 2020 Variational mode decomposition-based endpoint detection for distributed fiber interferometric vibration sensing systems

Pengfei Ma, Kun Liu, Junfeng Jiang, Zhenshi Sun, Liwang Zhang, Tiegen Liu

Author Affiliations +

Proceedings Volume 11436, 2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 1143602 (2020) https://doi.org/10.1117/12.2539217
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

We propose a variational mode decomposition (VMD)-based endpoint detection method for distributed fiber interferometric vibration sensing systems. First, the interference signal is decomposed into two number of modes (intrinsic mode functions (IMF1 and IMF2)). Then, the time moment corresponding to the disturbance starting point can be obtained using threshold judgment to IMF2. Finally, an experiment using a dual-laser source Mach-Zehnder interferometers (DSMZI)-based system is performed. Experimental results demonstrate that the error of the proposed scheme is 2 orders of magnitude lower than the conventional zero-crossing ratio (ZCR)-based method at the sensing length of 85 km. The mean processing time is 0.167 s, which is less than the sampling time of 0.3 s. Therefore, this high- efficiency endpoint detection method has potential practical applications in distributed fiber interferometric vibration sensing systems.

Citation Download Citation

Pengfei Ma, Kun Liu, Junfeng Jiang, Zhenshi Sun, Liwang Zhang, and Tiegen Liu "Variational mode decomposition-based endpoint detection for distributed fiber interferometric vibration sensing systems", Proc. SPIE 11436, 2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 1143602 (12 March 2020); https://doi.org/10.1117/12.2539217

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