[HTML][HTML] Semi-supervised learning framework for oil and gas pipeline failure detection
… This work proposes a semi-supervised machine learning … Although pipelines have the
lowest accident rates compared to … to the oil industry. CONCAWE associated the failures in the …
lowest accident rates compared to … to the oil industry. CONCAWE associated the failures in the …
Deeppipe: A semi-supervised learning for operating condition recognition of multi-product pipelines
… semi-supervised learning by using a real-world case. The accuracy of the hybrid model is
verified in comparison with other traditional machine learning … the fault detection of pipeline …
verified in comparison with other traditional machine learning … the fault detection of pipeline …
Generative adversarial network-based semi-supervised learning for real-time risk warning of process industries
R He, X Li, G Chen, G Chen, Y Liu - Expert Systems with Applications, 2020 - Elsevier
… accident data and a large amount of fault-free data, which cannot be directly trained by machine
learning. … pretreatment process, which comprises hazard identification, risk analysis, and …
learning. … pretreatment process, which comprises hazard identification, risk analysis, and …
Semi-supervised health assessment of pipeline systems based on optical fiber monitoring
S Jiang, R He, G Chen, Y Zhu, J Shi, K Liu… - Reliability Engineering & …, 2023 - Elsevier
… available data and basic deep learning models to improve … Many works treat pipeline
inspection signals as images and … pipeline accidents by 25%, thus improving the safety of the …
inspection signals as images and … pipeline accidents by 25%, thus improving the safety of the …
A semi-supervised leakage detection method driven by multivariate time series for natural gas gathering pipeline
… of the gas and oil industry. Modern data-driven fault … a semi-supervised machine learning
method based on multivariate time series data for leak detection of natural gas pipelines. Thus, …
method based on multivariate time series data for leak detection of natural gas pipelines. Thus, …
Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations
… in detection or estimation by the machine learning algorithms. … oil and gas industry has had
its share of disastrous accidents … There is also semi-supervised learning, which results when …
its share of disastrous accidents … There is also semi-supervised learning, which results when …
Detection of faults in subsea pipelines by flow monitoring with regression supervised machine learning
… a semi-supervised machine learning … a subsea oil pipeline for fault detection using a machine
learning (ML) program It intended to enhance the process monitoring capability of crude oil …
learning (ML) program It intended to enhance the process monitoring capability of crude oil …
Intelligent detection method of low-pressure gas system leakage based on semi-supervised anomaly diagnosis
X Tian, W Jiao, T Liu, L Ren, B Song - Expert Systems with Applications, 2022 - Elsevier
… pipeline system leakage detection method based on semi-supervised anomaly identification
… Leakage accidents of low-pressure gas systems in buildings often directly threaten the lives …
… Leakage accidents of low-pressure gas systems in buildings often directly threaten the lives …
[HTML][HTML] Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review
… of such pipeline accidents that … detecting defects in pipelines can be classified into different
categories, including supervised, semi-supervised, unsupervised, or reinforcement learning, …
categories, including supervised, semi-supervised, unsupervised, or reinforcement learning, …
A railway intrusion detection method based on decomposition and semi-supervised learning for accident protection
B Li, L Tan, F Wang, L Liu - Accident Analysis & Prevention, 2023 - Elsevier
… around the track lines. This … detection based on deep learning can be divided into two
categories, ie, the classification methods based on deep neural networks and the target detection …
categories, ie, the classification methods based on deep neural networks and the target detection …