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

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

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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 Mechanical pencil 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 Pillowsham Pair 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.