[PDF][PDF] Asset inspection powered by computer vision: the use of deep neural networks for automating the detection and classification of pipeline external damage

M Samnejad, M Aboelatta, CV Dung - PRCI Research Exchange …, 2021 - researchgate.net
Asset owners are required by the government to carry out regular inspection surveys to
ensure the integrity of all pressure-containing equipment. Conventionally, such operations …

Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art

R Jafari, S Razvarz, A Gegov… - 2020 IEEE 10th …, 2020 - ieeexplore.ieee.org
Pipelines have been extensively implemented to transfer oil as well as gas products at wide
distances as they are safe, and suitable. However, numerous sorts of damages may happen …

Computer Vision for Pipeline Monitoring Using UAVs and Deep Learning

R Lan, I Awolusi, J Cai - Pipelines 2023, 2023 - ascelibrary.org
Pipelines play a pivotal role in the oil and gas industry as they are currently the most widely
used method for conveying hydrocarbon fluids, natural gas, and petroleum products around …

The application of deep learning in pipeline inspection: current status and challenges

Z Yang, Y Zhang, Y Bai, J Shu - Ships and Offshore Structures, 2024 - Taylor & Francis
Pipelines are a primary route of transportation for essential energy sources such as oil and
gas, and the inspection and assessment of their operational status is vital to the health of the …

Video data analytics for the automation of water pipeline inspection

R Rayhana - 2023 - open.library.ubc.ca
Water transmission networks are a community's most expensive and critical urban assets.
Management of these pipelines is becoming one of the significant concerns as some of the …

A deep learning based automated structural defect detection system for sewer pipelines

SS Kumar, DM Abraham - … on Computing in Civil Engineering 2019, 2019 - ascelibrary.org
Automated interpretation of closed-circuit television (CCTV) inspection videos has the
potential to improve the speed, accuracy, and consistency of sewer pipeline condition …

Automated underwater pipeline damage detection using neural nets

J Shi, W Yin, Y Du, J Folkesson - ICRA 2019 Workshop on …, 2019 - diva-portal.org
Pipeline inspection is a very human intensive task and automation could improve
efficiencies significantly. We propose a system that could allow an autonomous underwater …

Deep Learning for Early Damage Detection of Tailing Pipes Joints with a Robotic Device

LW de Resende Filho, AA Santos… - 2020 IEEE 16th …, 2020 - ieeexplore.ieee.org
In the mining industry, it is usual to employ several kilometers of pipes to carry tailing from
the plant to a dam. Only in the Salobo Mine, a copper operation in the Amazon forest from …

Automated defect-detection system for water pipelines based on CCTV inspection videos of autonomous robotic platforms

R Rayhana, H Yun, Z Liu, X Kong - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Water is an essential element for the survival of human beings and a nation. Nowadays,
water utilities perform regular inspections of the internal conditions of the pipelines via …

Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

D Ochs, K Wiertz, S Bußmann, K Kersting, DS Dhami - Remote Sensing, 2024 - mdpi.com
Natural gas pipelines represent a critical infrastructure for most countries and thus their
safety is of paramount importance. To report potential risks along pipelines, several steps …