[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review

J Hegde, B Rokseth - Safety science, 2020 - Elsevier
The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Methods and models in process safety and risk management: Past, present and future

F Khan, S Rathnayaka, S Ahmed - Process safety and environmental …, 2015 - Elsevier
The paper reviews past progress in the development of methods and models for process
safety and risk management and highlights the present research trends; also it outlines the …

The future of risk assessment

E Zio - Reliability Engineering & System Safety, 2018 - Elsevier
Risk assessment must evolve for addressing the existing and future challenges, and
considering the new systems and innovations that have already arrived in our lives and that …

An analysis of process fault diagnosis methods from safety perspectives

R Arunthavanathan, F Khan, S Ahmed… - Computers & Chemical …, 2021 - Elsevier
Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …

Beyond human error taxonomies in assessment of risk in sociotechnical systems: a new paradigm with the EAST 'broken-links' approach

NA Stanton, C Harvey - New Paradigms in Ergonomics, 2020 - taylorfrancis.com
Risk assessments in Sociotechnical Systems (STS) tend to be based on error taxonomies,
yet the term 'human error'does not sit easily with STS theories and concepts. A new break …

Fixing the cracks in the crystal ball: A maturity model for quantitative risk assessment

A Rae, R Alexander, J McDermid - Reliability Engineering & System Safety, 2014 - Elsevier
Quantitative risk assessment (QRA) is widely practiced in system safety, but there is
insufficient evidence that QRA in general is fit for purpose. Defenders of QRA draw a …

Safety assurance of artificial intelligence-based systems: A systematic literature review on the state of the art and guidelines for future work

AVS Neto, JB Camargo, JR Almeida… - IEEE Access, 2022 - ieeexplore.ieee.org
The objective of this research is to present the state of the art of the safety assurance of
Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this …

Safety in System-of-Systems: Ten key challenges

C Harvey, NA Stanton - Safety science, 2014 - Elsevier
Abstract A System-of-Systems (SoS) describes a large and distributed network of component
subsystems which are themselves complex and autonomous. The goals of a SoS can only …

A new resilience metric to compare system of systems architecture

BC Watson, A Chowdhry, MJ Weissburg… - IEEE systems …, 2021 - ieeexplore.ieee.org
By combining independent systems (eg, financial systems, power infrastructure,
transportation networks), systems of systems (SoSs) can provide additional services. The …

What is the object of safety science?

J Ge, K Xu, C Wu, Q Xu, X Yao, L Li, X Xu, E Sun, J Li… - Safety science, 2019 - Elsevier
One of the symbols of a mature science is that it has an explicit object of scientific research. It
is necessary for safety science to have a well-defined object that can be studied. The aim of …