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

Blog Article

This work utilizes the CEEMDAN algorithm to analyze the interference of Rayleigh back-scattering signals in standard Bath Milk 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 Shampoo 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.