DOAJ Open Access 2024

Field Deployment of Natural Gas Pipeline Pre-Warning System With CEEMDAN Denoising Method

Jun Li Ruixu Yao

Abstrak

This work utilizes the CEEMDAN algorithm to analyze the interference of Rayleigh back-scattering signals in standard communication optical fibers. The technology has several advantages, such as anti-electromagnetic interference, improved electrical insulation, corrosion resistance, higher sensitivity, and the capability for long-distance monitoring. In this study, in-situ monitoring data from a 53.2 km natural gas pipeline in a terrain area in Southwest China were analyzed. The results demonstrate that, using the CEEMDAN algorithm for a blind test conducted over fourteen days, a 100% recognition accuracy for mechanical tamping and a Nuisance Alarm Rate (NAR) of less than 1% were achieved.

Topik & Kata Kunci

Applied optics. Photonics Optics. Light

Penulis (2)

Jun Li

Ruixu Yao

Format Sitasi

APA MLA BibTeX

Li, J., Yao, R. (2024). Field Deployment of Natural Gas Pipeline Pre-Warning System With CEEMDAN Denoising Method. https://doi.org/10.1109/JPHOT.2024.3421275

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Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1109/JPHOT.2024.3421275
Akses: Open Access ✓