[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 …

The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …

A CNN-based transfer learning method for leakage detection of pipeline under multiple working conditions with AE signals

P Liu, C Xu, J Xie, M Fu, Y Chen, Z Liu… - Process Safety and …, 2023 - Elsevier
Pipeline leakage detection is a crucial part of pipeline integrity management. Acoustic
emission (AE) based leakage detection is widely used in this field. The latest detection …

Real-time pipeline leak detection and localization using an attention-based LSTM approach

X Zhang, J Shi, M Yang, X Huang, AS Usmani… - Process Safety and …, 2023 - Elsevier
Long short-term memory (LSTM) has been widely applied to real-time automated natural
gas leak detection and localization. However, LSTM approach could not provide the …

Fault detection and isolation using probabilistic wavelet neural operator auto-encoder with application to dynamic processes

J Rani, T Tripura, H Kodamana, S Chakraborty… - Process Safety and …, 2023 - Elsevier
Fault detection and isolation are crucial aspects that need to be considered for the safe and
reliable operation of process systems. The modern industrial process frequently employs …

A novel deep learning model based on target transformer for fault diagnosis of chemical process

Z Wei, X Ji, L Zhou, Y Dang, Y Dai - Process safety and environmental …, 2022 - Elsevier
Deep learning is a powerful tool for feature representation, and many methods based on
convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have been …

Recurrent neural network-based model for estimating the life condition of a dry gas pipeline

NB Shaik, W Benjapolakul, SR Pedapati, K Bingi… - Process Safety and …, 2022 - Elsevier
The use of expansive pipeline networks guarantees domestic and industrial users for
accessing a continuous flow of valuable liquids and gases. These pipeline systems were …

[HTML][HTML] Advanced electronic and optoelectronic sensors, applications, modelling and industry 5.0 perspectives

A Massaro - Applied Sciences, 2023 - mdpi.com
This review will focus on advances in electronic and optoelectronic technologies by through
the analysis of a full research and industrial application scenario. Starting with the analysis …

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network

J Zhou, H Lin, S Li, H Jin, B Zhao, S Liu - Reliability Engineering & System …, 2023 - Elsevier
Leakage is a potential accident affecting gas pipeline reliability. To diagnose leakage of the
main gas extraction pipeline in coal mines, a pipeline leakage diagnosis method based on …

Automated leakage detection method of pipeline networks under complicated backgrounds by combining infrared thermography and Faster R-CNN technique

J Xie, Y Zhang, Z He, P Liu, Y Qin, Z Wang… - Process Safety and …, 2023 - Elsevier
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 …