z-logo
open-access-imgOpen Access
Pipeline Defects Detection and Classification Based on Distributed Fiber Sensors and Neural Networks
Author(s) -
Qirui Wang,
Jianan Jian,
Mohan Wang,
Jingyu Wu,
ZhiHong Mao,
Andrei Gribok,
Kevin P. Chen
Publication year - 2021
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1364/ofs.2020.w2b.3
Subject(s) - pipeline (software) , artificial neural network , computer science , identification (biology) , pipeline transport , distributed acoustic sensing , artificial intelligence , pattern recognition (psychology) , fiber , real time computing , fiber optic sensor , optical fiber , engineering , telecommunications , materials science , operating system , botany , composite material , biology , environmental engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom