Identifying Risk for Safety Management System by Analyzing Flight Data

  • 李 軒宇

Student thesis: Master's Thesis

Abstract

This study explores ways to conduct routine operational measurement (ROM) of flight data to identify risk for unstable approach Indicated airspeed selection and descent rate are two main parameters for monitoring This study conducts four types of analyses: flight parameter profile analysis outlier analysis stable approach criteria and ANOVA analysis This approach is helpful for identifying outlier flights question aerodromes or runways A thorough flight data examination would be conducted to investigate the reasons behind the event It is noted that the entire loop includes ROM analysis event investigation discussion with Airlines remedies developed if necessary and observation of effectiveness of remedies The progress of this study covers first three phases only Some flaws identified by ROM analysis may not be detected or be detected but ignored by exceedance analysis ROM analysis could be another protection to supplement such a deficiency for risk identification It is recommended to store the identified cases in a database for risk analysis and assessment Even though this study tries very hard to identify some flights with questions it may end up that most are normal flights Some may have flaws but at this stage not fatal mistakes It is recommended not to overlook any message delivered by these flaw flights easily And at least store them in a database for risk analysis
Date of Award2017 Sep 13
Original languageEnglish
SupervisorMelody Dzwo-Min Dai (Supervisor)

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