A two phase method to detect abnormalities in aircraft flight data and to rank their impact on individual flights

Earth and Planetary Sciences

• Abnormality 100%
• Descent 50%
• Datum 50%
• Model 50%
• Support Vector Machine 33%
• Classifier 33%
• Runway 33%
• Detection 33%
• Rate 33%
• Class 33%
• United Kingdom 33%
• Data Set 33%
• Time Series 16%
• Civil Aviation 16%
• Value 16%
• Selection 16%
• Tool 16%
• Air 16%
• Ability 16%
• Impact 16%
• Show 16%
• Set 16%
• Discrimination 16%
• Accuracy 16%
• Standard 16%
• Variation 16%
• Recommendation 16%
• Mixture 16%
• Difference 16%
• Parameter 16%
• Deviation 16%
• Accident Investigation 16%

INIS

• data 50%
• height 50%
• aircraft 50%
• datasets 33%
• detection 33%
• vectors 33%
• levels 16%
• accuracy 16%
• comparative evaluations 16%
• values 16%
• investigations 16%
• variations 16%
• tools 16%
• air 16%
• weight 16%
• mixtures 16%
• accidents 16%
• recommendations 16%