Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring-Reference-Cited by-同舟云学术

Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring

Published:2016-03 Issue: Volume:64 Page:45-57
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Li Lishuai,Hansman R. John,Palacios Rafael,Welsch Roy

Funder

Federal Aviation Administration

National Aeronautics and Space Administration

City University of Hong Kong Start-up

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

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5. Anomaly detection and diagnosis algorithms for discrete symbol sequences with applications to airline safety;Budalakoti;IEEE Trans. Syst. Man Cybern. Part C Appl. Rev.,2008

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