Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

Oil and gas pipelines are very important for fuel transportation, however leakages in them
may lead to life and property losses due to the release of the energy they contain. Reliable …

In this work, a novel convolutional neural architecture (SE-CNN), which combines spectrum
enhancement (SE) and convolutional neural network (CNN), is proposed to detect the leak …

Digital Transformation integrates information technology across a broad spectrum of
industrial sectors. Industrial Cyber-Physical Systems (ICPS) play a vital role in this …

Leakage detection is essential to process safety and loss prevention of pipeline networks.
As one of the attractive methods for detecting leakages in single pipelines, infrared …

Abstract Machine learning methods for damage detection of thermoplastic composite pipes
(TCPs) under noise conditions are presented, which combine the random decrement …

Abstract Pipe-in-pipe (PIP) system is essential for high thermal and high pressure fluid
transportation. However, in the existing PIP systems, fluid leakage between inner and outer …

We propose a new teacher–student framework (TSF)-based knowledge transfer method, in
which knowledge in the form of dense flow across layers is distilled from a pre-trained …

This paper proposes a novel and reliable leak-detection method for pipeline systems based
on acoustic emission (AE) signals. The proposed method analyzes signals from two AE …

This study covers the accidental generation of bubble jet flow caused by steam generator
(SG) tubes damaging in sodium-cooled fast reactors (SFRs). The main objective of this study …