Reactive Temporal Logic-Based Precursor Detection Algorithm for Terminal Airspace Operations
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Dawei Sun | Inseok Hwang | Raj Deshmukh | Kwangyeon Kim | Inseok Hwang | Dawei Sun | R. Deshmukh | Kwangyeon Kim
[1] Dimitri N. Mavris,et al. Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records , 2018 .
[2] Inseok Hwang,et al. Four-Dimensional Aircraft Taxiway Conformance Monitoring with Constrained Stochastic Linear Hybrid Systems , 2012 .
[3] Victoria J. Hodge,et al. A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.
[4] Roy E. Welsch,et al. Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring , 2016 .
[5] Ashok N. Srivastava,et al. Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations , 2015, J. Aerosp. Inf. Syst..
[6] Calin Belta,et al. Temporal Logics for Learning and Detection of Anomalous Behavior , 2017, IEEE Transactions on Automatic Control.
[7] Ashok N. Srivastava. Greener aviation with virtual sensors: a case study , 2011, Data Mining and Knowledge Discovery.
[8] Mark Schwabacher,et al. Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring , 2007, J. Aerosp. Comput. Inf. Commun..
[9] Irem Y. Tumer,et al. Analysis of Triaxial Vibration Data for Health Monitoring of Helicopter Gearboxes , 2003 .
[10] Inseok Hwang,et al. Algorithm for Conformance Monitoring in Air Traffic Control , 2009 .
[11] Inseok Hwang,et al. Incremental-Learning-Based Unsupervised Anomaly Detection Algorithm for Terminal Airspace Operations , 2019, Journal of Aerospace Information Systems.