Ultrasonic Curved Coordinate Transform-RAPID With Bayesian Method for the Damage Localization of Pipeline

Pipeline damage could lead to accidents such as the ground subsidence and rainwater backflow. It is critical to monitor and locate the damage in real-time for the safety of urban infrastructure. In this research, a curved coordinate transform- reconstruction algorithm for probabilistic inspection of damage (RAPID) with Bayesian method was proposed to locate the damage of pipeline. First, the coordinate transform algorithm was presented. The correlation-based damage probability density was calculated in the curved coordinate system. Then, the time of flight parameter was extracted using the Hilbert transform. The curved ellipse trajectory of multipath was constructed as the likelihood function of damage location. Finally, the posterior probability was calculated by Bayesian method to update the damage position. The excitation and propagation of ultrasonic guided waves were conducted through the finite element simulation and experiments. The experiment shows that the proposed method could locate the damage of pipeline effectively. Compared with the traditional RAPID and ellipse trajectory method, the average accuracy of this method is increased by 71.315% and 58.21%.