Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey

J Perez-Cerrolaza, J Abella, M Borg, C Donzella… - ACM Computing …, 2024 - dl.acm.org
Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

[HTML][HTML] Safety barriers in the chemical process industries: A state-of-the-art review on their classification, assessment, and management

S Yuan, M Yang, G Reniers, C Chen, J Wu - Safety science, 2022 - Elsevier
Barriers are used in various forms to assure the safety of chemical plants. A deep
understanding of the literature related to safety barriers is essential to tackle the challenges …

[HTML][HTML] Safety barriers: Research advances and new thoughts on theory, engineering and management

Y Liu - Journal of Loss Prevention in the Process Industries, 2020 - Elsevier
Safety barriers include physical and non-physical means in different industries for
preventing the occurrences of hazardous events and mitigating the consequences in case …

A new Fuzzy-Bayesian approach for the determination of failure probability due to thermal radiation in domino effect accidents

JAD Santana, JL Orozco, D Furka, S Furka… - Engineering Failure …, 2021 - Elsevier
In recent years, domino effect accidents and domino effect prediction have been intensively
studied by the scientific community. The reason for this is the serious impact of these …

Using integrated Bayesian-Petri Net method for individual impact assessment of domino effect accidents

JAD Santana, JL Orozco, DF Lantigua, D Furka… - Journal of Cleaner …, 2021 - Elsevier
One of the aims of Cleaner Production refers to the reduction of risks for the human
population. Domino effect accidents trigger the worst consequences in process industries …

Analysis of oceanaut operating performance using an integrated Bayesian network aided by the fuzzy logic theory

M Zhu, D Chen, J Wang, Y Sun - International Journal of Industrial …, 2021 - Elsevier
Because the oceanaut plays a significant role in safety and capability during manned deep-
diving scientific tasks, preventing oceanaut performance decline is of paramount …

Modeling for evaluation of safety instrumented systems with heterogeneous components

B Cai, W Li, Y Liu, X Shao, Y Zhang, Y Zhao… - Reliability Engineering & …, 2021 - Elsevier
A novel methodology for evaluation of safety instrumented systems (SISs) with
heterogeneous components based on multi-stage dynamic Bayesian networks (MDBNs) is …

Safety performance evaluation of offshore high integrity pressure protection system using multiphase dynamic Bayesian network methodology

Y Yu, Y Liang, S Wu, B Cai, Y Pan, R Gao, S Cheng… - Ocean …, 2024 - Elsevier
Offshore oil and gas production always involves the challenge of evaluating the reliability of
protection systems, such as High Integrity Pressure Protection Systems (HIPPS). In this …

SIL assessment of in-service safety instrumented systems in the chemical industry based on FBN-LOPA

Z Wang, J Wang, P Guan, W Song - Process Safety and Environmental …, 2025 - Elsevier
Abstract The Safety Instrumentation System (SIS) is a crucial safety device widely used in
process industries. Its safety performance is measured by Safety Integrity Levels (SIL) …

Dynamic risk assessment of a coal slurry preparation system based on the structure-variable Dynamic Bayesian Network

M Liu, L Wu, M Hou - Plos one, 2024 - journals.plos.org
In order to strengthen the safety management of coal slurry preparation systems, a dynamic
risk assessment method was established by using the bow-tie (BT) model and the Structure …