Research on Quantitative Evaluation of Wax Deposition Based on Distributed Optical Fiber Sensing Signal Inversion

In response to the limitations of traditional pipeline wax deposition monitoring, we propose a quantitative evaluation method based on the inversion of distributed optical fiber sensing signals. By establishing an experimental system and adopting a “noise suppression–restoration–enhancement” preprocessing method, the signal quality was significantly improved. The IBES-TPGM(1,1) model had the best nonlinear fitting ability, with a Root Mean Square Error of only 0.069 mm and a Mean Relative Error