A physics-constrained deep learning framework for feature recognition in long-distance natural gas pipelines
The safety assurance of long-distance natural gas pipelines depends on accurate perception of their service condition, and this capability, in turn, relies on effective identification of features such as bending deformation, dents, and weld anomalies. However, when bending strain signals are used for feature recognitio...