One step forward for smart chemical process fault detection and diagnosis

X Bi, R Qin, D Wu, S Zheng, J Zhao - Computers & Chemical Engineering, 2022 - Elsevier
Process fault detection and diagnosis (FDD) is an essential tool to ensure safe production in
chemical industries. After decades of development, despite the promising performance of …

Near-miss management systems and observability-in-depth: Handling safety incidents and accident precursors in light of safety principles

MG Gnoni, JH Saleh - Safety science, 2017 - Elsevier
Accident precursors and near-miss management systems (NMS) are important safety tools
in industries with major accident hazards, such as the airline industry, the nuclear industry …

Analysis of accidents caused by human factors in the oil and gas industry using the HFACS-OGI framework

CD Nwankwo, AO Arewa, SC Theophilus… - … of occupational safety …, 2022 - Taylor & Francis
Objectives. Human factors have been identified as the most common causes of catastrophic
accidents in the oil and gas industry. Therefore, this study aims to analyze human causal …

Abnormal situation management: Challenges and opportunities in the big data era

Y Shu, L Ming, F Cheng, Z Zhang, J Zhao - Computers & Chemical …, 2016 - Elsevier
Although modern chemical processes are highly automatic, abnormal situation management
(ASM) still heavily relies on human operators. Process fault detection and diagnosis (FDD) …

An Accident Causation Analysis and Taxonomy (ACAT) model of complex industrial system from both system safety and control theory perspectives

W Li, L Zhang, W Liang - Safety science, 2017 - Elsevier
Accident causation analysis is a good way to trace industrial accident causes and ultimately
to prevent similar accidents from happening again. Classification of accident causes can not …

[HTML][HTML] On the use of criteria based on the SMART acronym to assess quality of performance indicators for safety management in process industries

JT Selvik, S Bansal, EB Abrahamsen - Journal of loss prevention in the …, 2021 - Elsevier
Management of safety, and barriers in particular, includes using information expressing
performance, ie use of safety performance indicators. For this information to be useful, the …

A new accident causation model based on information flow and its application in Tian** Port fire and explosion accident

C Wu, L Huang - Reliability Engineering & System Safety, 2019 - Elsevier
Accident causation models can provide a framework of reference to help understand and
explain how an accident occurs. The role of information flow (IF) in accident causation is …

Learning how to learn from failures: The Fukushima nuclear disaster

A Labib, MJ Harris - Engineering Failure Analysis, 2015 - Elsevier
Abstract Analysis of the Fukushima nuclear reactor disaster will show how to learn from
failures using multi-models. This type of analysis can enrich the modelling of causal factors …

Maintenance and inspection as risk factors in helicopter accidents: Analysis and recommendations

JH Saleh, A Tikayat Ray, KS Zhang, JS Churchwell - PloS one, 2019 - journals.plos.org
In this work, we establish that maintenance and inspection are a risk factor in helicopter
accidents. Between 2005 and 2015, flawed maintenance and inspection were causal factors …

[HTML][HTML] Accident prevention analysis: Exploring the intellectual structure of a research field

R Huang, H Liu, H Ma, Y Qiang, K Pan, X Gou, X Wang… - Sustainability, 2022 - mdpi.com
Accident prevention is of great significance in avoiding or reducing all kinds of casualties
and economic losses, and is one of the main challenges for social sustainable development …