Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring
Transportation Research Part C: Emerging Technologies(2016)
摘要
•Propose a data-driven approach to analyze flight data for proactive safety management.•Detect abnormal flights using Gaussian Mixture Model based cluster analysis.•Test the proposed approach on two sets of airline operational data.•Results show that the approach is able to detect abnormal flights with elevated risks.
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关键词
Flight safety,Flight data,Flight operations monitoring,Anomaly detection,Cluster analysis
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