AIAA AVIATION 2022 Forum · 2022 · 12 citations · 7 references
EngineeringRisk ManagementSystems EngineeringMachine LearningPredictive AnalyticsSafety EngineeringIncident ManagementSafety Data ManagementSafety ManagementSafety Management SystemsSafety SystemsSystem SafetyAviation Risk ManagementAviation Safety ManagementPredictive Safety AnalyticsProactive Safety AnalyticsSafety AssuranceSafety Data AnalyticsSafety Management Systems IntegrationSafety Risk Management
View Video Presentation: https://doi.org/10.2514/6.2022-3220.vid Today’s commercial air carriers ensure safety through use of Safety Management Systems (SMS) although traditional SMS is labor-intensive and has difficulty scaling with the increasing complexity of operational data. An In-time Aviation Safety Management System envisions the integration of risk management and safety assurance using machine learning to timely monitor, assess, and mitigate known risks and detect emergent risks. This innovative perspective enables proactive and predictive safety using data analytics for improved actionable safety intelligence and risk visualization.
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Risk management in a dynamic society: a modelling problem
Jens Rasmussen · Safety Science · 1997 · 2.9K citations
Multiple kernel learning for heterogeneous anomaly detection
Santanu Das, Bryan Matthews, Ashok N. Srivastava et al. · 2010 · 184 citations
American Industrial Hygiene Association Quarterly · 1940 · 105 citations