Applications of Bayesian networks and Petri nets in safety, reliability, and risk assessments: A review
S Kabir, Y Papadopoulos - Safety science, 2019 - Elsevier
Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …
throughout the system life-cycle to ensure the dependability of safety-critical systems …
Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry
Introduction: Underground mining is considered one of the most hazardous industries and is
often associated with serious work-related fatalities; this paper addresses job-related …
often associated with serious work-related fatalities; this paper addresses job-related …
Improved DEMATEL methodology for effective safety management decision-making
Decision-making is a critical step in safety and risk analysis. Decision-making is conducted
according to the different sources of information often elicited from filed matter and subject …
according to the different sources of information often elicited from filed matter and subject …
[HTML][HTML] An advanced framework for leakage risk assessment of hydrogen refueling stations using interval-valued spherical fuzzy sets (IV-SFS)
The extensive population growth calls for substantial studies on sustainable development in
urban areas. Thus, it is vital for cities to be resilient to new situations and adequately …
urban areas. Thus, it is vital for cities to be resilient to new situations and adequately …
A hybrid model for human factor analysis in process accidents: FBN-HFACS
Human factors are the largest contributing factors to unsafe operation of the chemical
process systems. Conventional methods of human factor assessment are often static, unable …
process systems. Conventional methods of human factor assessment are often static, unable …
A novel extension of DEMATEL approach for probabilistic safety analysis in process systems
Quantitative risk assessment (QRA) techniques methodically assess the likelihood, impact,
and subsequently the risk of adverse events. In a typical QRA method, one of the main …
and subsequently the risk of adverse events. In a typical QRA method, one of the main …
Human factors analysis for maritime accidents based on a dynamic fuzzy Bayesian network
W Qiao, Y Liu, X Ma, Y Liu - Risk analysis, 2020 - Wiley Online Library
Human factors are widely regarded to be highly contributing factors to maritime accident
prevention system failures. The conventional methods for human factor assessment …
prevention system failures. The conventional methods for human factor assessment …
Reliability assessment of power system considering the impact of renewable energy sources integration into grid with advanced intelligent strategies
Power industry is incidenting a change from the present electric grid to a more secure,
reliable, capable and advanced smart grid. Renewable energy sources such as wind and …
reliable, capable and advanced smart grid. Renewable energy sources such as wind and …
Rebooting data-driven soft-sensors in process industries: A review of kernel methods
Soft-sensors usually assist in dealing with the unavailability of hardware sensors in process
industries, thus allowing for less fault occurrence and better control performance. However …
industries, thus allowing for less fault occurrence and better control performance. However …
Fermatean fuzzy TOPSIS-based approach for occupational risk assessment in manufacturing
The importance of risk assessment in the context of occupational health and safety by
manufacturing operators strengthens their hands in solving the problems they may …
manufacturing operators strengthens their hands in solving the problems they may …