Deep-learning-based acoustic pipeline defect detection and characterization in dynamic environments involving varying temperature and fluid flow.
Pipeline failures in industrial and municipal systems pose significant risks of environmental contamination, economic losses, and public safety hazards. However, it is often challenging to implement conventional pipeline inspection methods under dynamic environmental/operational conditions. Specifically, some of the mo...