Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques

S Li, M You, D Li, J Liu - Process safety and environmental protection, 2022 - Elsevier
Coal industry is a typical high-risk industry with frequent accidents. In an effort to ensure
workers' safety and health, and reduce the probability of productivity decrease, it is essential …

Carbon dioxide transport pipeline systems: Overview of technical characteristics, safety, integrity and cost, and potential application of digital twin

AK Sleiti, WA Al-Ammari… - Journal of Energy …, 2022 - asmedigitalcollection.asme.org
Carbon dioxide transport from capture to utilization or storage locations plays key functions
in carbon capture and storage systems. In this study, a comprehensive overview and …

An integrated risk prediction model for corrosion-induced pipeline incidents using artificial neural network and Bayesian analysis

P Kumari, SZ Halim, JSI Kwon, N Quddus - Process Safety and …, 2022 - Elsevier
In onshore hazardous liquid transmission pipelines, corrosion-induced incidents are
potentially significant hazard to people, property and environment. Therefore, several …

Text mining of accident reports using semi-supervised keyword extraction and topic modeling

A Ahadh, GV Binish, R Srinivasan - Process safety and environmental …, 2021 - Elsevier
Learning from past incidents is critical to achieving and maintaining high process safety
performance. Accident and incident records provide one way for learning; however, these …

Identifying causality and contributory factors of pipeline incidents by employing natural language processing and text mining techniques

G Liu, M Boyd, M Yu, SZ Halim, N Quddus - Process safety and …, 2021 - Elsevier
The key to learning from the past incidents is to identify the underlying causes and
contributory factors of the incidents. A large amount of text data on incident narratives has …

Fault monitoring using novel adaptive kernel principal component analysis integrating grey relational analysis

Y Han, G Song, F Liu, Z Geng, B Ma, W Xu - Process Safety and …, 2022 - Elsevier
The kernel principal component analysis (KPCA) is widely used as a fault monitoring tool for
complex nonlinear chemical processes in recent years. The cumulative contribution rate that …

A risk assessment framework considering uncertainty for corrosion-induced natural gas pipeline accidents

X Li, J Wang, R Abbassi, G Chen - Journal of Loss Prevention in the …, 2022 - Elsevier
Corrosion degradation is one of the main causations of natural gas pipeline failure, which
poses a severe threat to human life, assets, and the environment. This paper develops a …

Understanding the factors and consequences of pipeline incidents: An analysis of gas transmission pipelines in the US

R Xiao, T Zayed, MA Meguid, L Sushama - Engineering Failure Analysis, 2023 - Elsevier
The contemporary world is confronted with a significant and pressing challenge in the form
of the energy crisis. Natural gas represents a potential solution to the crisis, and its …

Dynamic probability assessment of urban natural gas pipeline accidents considering integrated external activities

X Li, Y Zhang, R Abbassi, M Yang, R Zhang… - Journal of Loss …, 2021 - Elsevier
Urban gas pipelines usually have high structural vulnerability due to long service time. The
locations across urban areas with high population density make the gas pipelines easily …

Deeppipe: A semi-supervised learning for operating condition recognition of multi-product pipelines

J Zheng, J Du, Y Liang, Q Liao, Z Li, H Zhang… - Process Safety and …, 2021 - Elsevier
Intelligent operating monitoring of pipelines helps to detect anomalies in time to ensure
pipeline safe, reducing potential risk. However, the operating conditions of the multi-product …