Analysis of Flight Operational Quality Assurance Data Using Model-Based Activity Tracking
نویسنده
چکیده
Future technologies will enable carriers to collect additional flight data for Flight Operational Quality Assurance. This paper describes how analysis of these data using model-based activity tracking can automatically assess the causes of detected deviations to support safety-enhancement efforts. The paper describes the activity tracking methodology implemented in the Crew Activity Tracking System (CATS) using an example drawn from previous research in which CATS analyzed full-mission simulation data online. The paper also discusses current research on using CATS to analyze flight data from a Boeing 757 aircraft.
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