Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft

Title
Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft
Authors
Keywords
Aviation safety, Real-time monitoring, Anomaly detection, Support vector machine, Feature selection
Journal
ADVANCED ENGINEERING INFORMATICS
Volume 44, Issue -, Pages 101071
Publisher
Elsevier BV
Online
2020-03-02
DOI
10.1016/j.aei.2020.101071

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