This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …

This study presents a framework for detecting mechanical damage in pipelines, focusing on
generating simulated data and sampling to emulate distributed acoustic sensing (DAS) …

Nondestructive testing (NDT) is of paramount importance in ensuring the safe operation of
equipment. Among various NDT techniques, ultrasonic NDT has garnered widespread …

Optical fiber based electro-magnetic field sensors is a diverse and expanding field in fiber
sensor technology with applications spanning from geomagnetism, biomagnetism, nuclear …

Distributed fibre optic sensing (DFOS) is gaining popularity as a diagnostic solution for short-
term non-destructive testing (NDT) and long-term structural health monitoring (SHM) …

Distributed acoustic fiber optic sensors (DAS) enable spatially distributed monitoring of
perturbations and contain rich multidimensional information that can be used in structural …

Pipeline infrastructure monitoring based on distributed fiber-optic acoustic sensing is
gaining significant attention aimed at real-time rapid detection of leakages, third-party …

Distributed fiber optic sensing is a cutting-edge technology that has found extensive
applications in the monitoring of pipelines. Among them, distributed acoustic sensors, phase …

This study proposes a machine-learning-based framework for detecting mechanical damage
in pipelines, utilizing physics-informed datasets collected from simulations for mechanical …

The integration of Rayleigh and Brillouin scattering in a hybrid sensor system has
revolutionized the field of distributed fiber optic sensing. This hybrid sensor system provides …