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Summary: UCLA researchers in the Garrick Institute for the Risk Sciences have developed a software for performing human reliability analyses using a model-based method, which provides more consistent, traceable, and reproducible results. Background: Statistical data regarding accidents in complex person operated technical systems indicate a significant...

Published: 6/24/2024 | Inventor(s): Marilia Ramos, Ali Mosleh, Mihai Diaconesa, Arjun Earthperson, Wadie Chalgham, Javier Colin

Keywords(s): Bayesian Belief Network (BBNs), cognitive reliability, crew failure mode, crew response tree, crew-plant interactions, error identification, error probability, Fault tree, HRA, human error, human failure event, human reliability analysis, performance influencing factor, probabilistic risk assessment, risk management, risk mitigation, safety culture, task analysis

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Energy & Environment, Energy & Environment > Energy Storage, Energy & Environment > Energy Transmission