Critical review on data-driven approaches for learning from accidents: comparative analysis and future research
Y Niu, Y Fan, X Ju - Safety science, 2024 - Elsevier
Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …
human society. Industrial accident prevention is also amid this change. Although many …
Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review
A comprehensive evaluation of the integrity of oil and gas pipelines subjected to corrosion
defect is required for forecasting health & safety actions. If corrosion is ignored, it may have …
defect is required for forecasting health & safety actions. If corrosion is ignored, it may have …
A Bayesian approach to assess under-deposit corrosion in oil and gas pipelines
Under-deposit corrosion (UDC) and microbiologically influenced corrosion under deposits
(UD-MIC) have increasingly been identified as severe forms of localized corrosion …
(UD-MIC) have increasingly been identified as severe forms of localized corrosion …
Maintenance strategy optimization of pipeline system with multi-stage corrosion defects based on heuristically genetic algorithm
M **e, J Zhao, X Pei - Process Safety and Environmental Protection, 2023 - Elsevier
To ensure the high reliability of the pipeline system, it is necessary to take group
maintenance actions. This work proposes an optimal group maintenance approach based …
maintenance actions. This work proposes an optimal group maintenance approach based …
Long-Term Survival of Toxoplasma gondii Sporulated Oocysts in Seawater
Toxoplasma gondii is now recognized as an important pathogen in costal marine mammals.
Oocysts from cat feces are believed to be washed into seawater and serve as a source of …
Oocysts from cat feces are believed to be washed into seawater and serve as a source of …
A unified causation prediction model for aboveground onshore oil and refined product pipeline incidents using artificial neural network
Aboveground onshore oil and refined product pipeline incidents pose significant hazards to
people, property, and environment. Therefore, several data-driven models have been …
people, property, and environment. Therefore, several data-driven models have been …
A direct transfer entropy-based multiblock Bayesian network for root cause diagnosis of process faults
In chemical processes, Bayesian network (BN)-based approaches have been extensively
applied for process fault diagnosis. Generally, BN is learned using score and search …
applied for process fault diagnosis. Generally, BN is learned using score and search …
A novel pipeline age evaluation: considering overall condition index and neural network based on measured data
Today, the chemical corrosion of metals is one of the main problems of large productions,
especially in the oil and gas industries. Due to massive downtime connected to corrosion …
especially in the oil and gas industries. Due to massive downtime connected to corrosion …
Rapid failure risk analysis of corroded gas pipelines using machine learning
Pipelines are critical to the urban development of modern cities, closely entwined with both
production and residential activities. This study introduces a rapid and efficient methodology …
production and residential activities. This study introduces a rapid and efficient methodology …
[HTML][HTML] Pipeline corrosion prediction and uncertainty analysis with an ensemble Bayesian neural network approach
This study developed an ensemble Bayesian Neural Network (BNN) model for pipeline
corrosion prediction incorporating uncertainty analysis. The performance of the proposed …
corrosion prediction incorporating uncertainty analysis. The performance of the proposed …