Review on automated condition assessment of pipelines with machine learning

Y Liu, Y Bao - Advanced Engineering Informatics, 2022 - Elsevier
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …

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 …

Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …

E Uncuoglu, H Citakoglu, L Latifoglu, S Bayram… - Applied Soft …, 2022 - Elsevier
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …

A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline

S Peng, Z Zhang, E Liu, W Liu, W Qiao - Journal of Natural Gas Science …, 2021 - Elsevier
Pipeline plays an important role in the oil and gas transportation industry. In recent years,
more and more pipeline damages and breakdowns are caused by corrosion, which hurts the …

Computational methods for pipeline leakage detection and localization: A review and comparative study

J Sekhavati, SH Hashemabadi, M Soroush - Journal of Loss Prevention in …, 2022 - Elsevier
Pipelines are one of the least expensive means of transporting fluids in long distances and
distributing fluids in large areas and cities. Fluids transported and distributed by pipelines …

Correction model for CO detection in the coal combustion loss process in mines based on GWO-SVM

J Deng, WL Chen, C Liang, WF Wang, Y **ao… - Journal of Loss …, 2021 - Elsevier
Accurate detection of CO gas is crucial to the prevention of coal combustion. Tuneable diode
laser absorption spectroscopy (TDLAS) is a reliable method for CO detection during coal …

Support vector machine-based similarity selection method for structural transient reliability analysis

JY Chen, YW Feng, D Teng, C Lu, CW Fei - Reliability Engineering & …, 2022 - Elsevier
The transient reliability analysis of structures enduring complex loads from multiple sources
originating from extraordinarily tangled and complicated operation situation, plays a leading …

Denoising method of pipeline leakage signal based on VMD and Hilbert transform

Z Jiang, J **e, J Zhang, X Zhang - Journal of Sensors, 2023 - Wiley Online Library
In order to solve the problem of low localization accuracy of water supply pipeline leakage
detection using acoustic emission signals, a noise reduction algorithm based on variational …

An online real-time estimation tool of leakage parameters for hazardous liquid pipelines

J Zheng, Y Dai, Y Liang, Q Liao, H Zhang - International Journal of Critical …, 2020 - Elsevier
Hazardous liquid pipeline (HLP) leaks not only result in energy waste and environmental
pollution, but also pose a threat to people's lives and property. The estimation of leakage …

Location method of Sagnac distributed optical fiber sensing system based on CNNs ensemble learning

J Lv, N Fang, C Wang, L Wang - Optics & Laser Technology, 2021 - Elsevier
Aiming at the location problem of high-pressure pipeline leakage, this paper proposes a
method for predicting the disturbed position of a Sagnac distributed optical fiber sensing …