Automated Trend Analysis for Navy-Carrier Landing Attempts
Abstract
A replacement system IPARTS is being built for the current U.S. Navy APARTS handheld data-entry device that records evaluations
of landings of pilots on aircraft carriers. Navy aircraft are difficult to land and costly to repair, and extensive training and performance
monitoring is important. Part of this task includes summarizing older data on landing attempts for comparison of pilot performances.
We built tools for analyzing trends exhibited by pilots, pilot groups, aircraft, and evaluators in regard to grades, landing details, and
verbal comments. Results are shown on a sample of 85,571 passes representing about 20% of the current Navy records, a significantly
larger study than has ever been conducted. These results enabled building several kinds of predictive models of pilot performance
which help identify particular pilot problems, and this should help in designing training programs. Fairness of grading of pilots was
also assessed by comparisons between military units, aircraft, and graders. The most novel part of the research was understanding and
computing statistics on the comments, which are in a telegraphic format using a unique language; a 2433-rule standardization routine
and a parser were built to interpret them. Comments were essential in understanding the context of grades. The comment counts were
also especially helpful in designing a user interface for a replacement grading device we designed and tested. This work should
provide new insights into the performance of military pilots.
Description
Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, FL, December 2012
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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