Review on automated condition assessment of pipelines with machine learning
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
method for predicting the disturbed position of a Sagnac distributed optical fiber sensing …