Aircraft anomaly detection using algorithmic model and data model trained on foqa data

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Aircraft anomaly detection using algorithmic model and data model trained on foqa data

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Two models of anomaly detection are put to use in detecting anomaly in aircraftrnoperation. Self-Organizing Map Neural Network (SOM NN) is used from the culturernof algorithmic modeling and One-Class Support Vector Machine (SVM) is used fromrnthe culture of data modeling. The goal of the research is to find anomalies within therndata of aircraft operation or otherwise known as Flight Operations Quality Assurancern(FOQA) data

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M00319 (Rack Thesis) Available

Detail Information

Series Title: -
Call Number: 319
Publisher: : Swiss German University., 2015
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): each happenedrnbecause of different causes. It is
Specific Detail Info: -
Statement of Responsibility: sensor anomaly

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