[HTML][HTML] Review and analysis of pipeline leak detection methods

NVS Korlapati, F Khan, Q Noor, S Mirza… - Journal of pipeline …, 2022 - Elsevier
A pipeline burst or rupture causing a leak may significantly impact the environment and the
reputation of the company operating the pipeline. In recent years, oil and gas pipelines are …

Review on smart gas sensing technology

S Feng, F Farha, Q Li, Y Wan, Y Xu, T Zhang, H Ning - Sensors, 2019 - mdpi.com
With the development of the Internet-of-Things (IoT) technology, the applications of gas
sensors in the fields of smart homes, wearable devices, and smart mobile terminals have …

MEMS gas sensors: A review

MIA Asri, MN Hasan, MRA Fuaad… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Micro-electromechanical system (MEMS) gas sensors represent a system that is capable of
detecting the existence and concentration of gasses in the atmosphere. These sensors have …

A miniaturized electronic nose with artificial neural network for anti-interference detection of mixed indoor hazardous gases

J Zhang, Y Xue, Q Sun, T Zhang, Y Chen, W Yu… - Sensors and Actuators B …, 2021 - Elsevier
Indoor air quality attracted great attention for its significant threats to human health and
safety, especially the potential hazardous gases in kitchens. To meet the requirements of the …

A tnGAN-based leak detection method for pipeline network considering incomplete sensor data

X Hu, H Zhang, D Ma, R Wang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the widely deployed sensors in the pipeline network, the data-driven detection
method is a natural choice with multiple sensor measurements. However, the incomplete …

Pipeline leakage detection using acoustic emission and machine learning algorithms

N Ullah, Z Ahmed, JM Kim - Sensors, 2023 - mdpi.com
Pipelines play a significant role in liquid and gas resource distribution. Pipeline leaks,
however, result in severe consequences, such as wasted resources, risks to community …

A semi-supervised leakage detection method driven by multivariate time series for natural gas gathering pipeline

Z Zuo, L Ma, S Liang, J Liang, H Zhang, T Liu - Process Safety and …, 2022 - Elsevier
Real-time and accurate leakage detection of natural gas gathering pipelines is critical to the
safe and reliable operation of the gas and oil industry. Modern data-driven fault detection …

A novel deep offline-to-online transfer learning framework for pipeline leakage detection with small samples

C Wang, Z Wang, W Liu, Y Shen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a two-stage deep offline-to-online transfer learning framework (DOTLF) is
proposed for long-distance pipeline leakage detection (PLD). At the offline training stage, a …

Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network

Z Ahmad, TK Nguyen, JM Kim - Engineering Applications of …, 2023 - Taylor & Francis
This paper proposes a leak detection and size identification technique in fluid pipelines
based on a new leak-sensitive feature called the vulnerability index (VI) and 1-D …

Water pipeline leakage detection based on machine learning and wireless sensor networks

Y Liu, X Ma, Y Li, Y Tie, Y Zhang, J Gao - Sensors, 2019 - mdpi.com
The detection of water pipeline leakage is important to ensure that water supply networks
can operate safely and conserve water resources. To address the lack of intelligent and the …