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Seconds That Vanished ... Reconstructing the Final Climb of AI171



An Independent Technical Deep Dive into System Behavior, Crew Response & Probable Electrical Vulnerabilities


(A comprehensive systems-based interpretation | Independent dossier – based on publicly available data and the AAIB Preliminary Report)



About the Author:


 I’m an air cargo professional with over 20 years of experience across international and domestic air cargo operations and IT enabled Services . I’m also an independent aviation researcher and consultant , IATA-certified DG professional, and hold additional qualifications in ITIL and Cisco systems.


This independent analysis reflects my deep curiosity , knowledge and experience in aviation and commitment to safety.


This is a hypothesis-led, non-official technical reconstruction and deep-dive analysis, based on the AAIB preliminary report and publicly available data. It reflects an in-depth systems-based exploration of the AI171 events.


Key Focus Areas :


 • Granular sequencing of system and crew events post-liftoff


 • FIFO/LIFO logic to decode functional breakdown progression


 • Comparative mapping of abnormal vs expected system behaviors


 • Cabin anomalies (ICE, comms, lights) as early stress indicators


 • Real-world vs AI171 climb path and thrust output


 • Crew alert workload, timing gaps, and cockpit response under pressure


 • Plausible overlapping of power pathways between critical/non-critical loads


 • Relay/BTU behavior under stress — logic failure, delayed isolation


 • Shared upstream BTU/RPDU vulnerabilities across avionics and cabin


 • Downstream impact on solenoids, FADECs, actuators, and displays


 • Evidence-based rebuttal of pilot error theory (13 observations)


 • Probable scenario: Electrical instability triggering fuel cutoff and dual engine failure


Why? Because this incident deserves a clear, structured exploration — one that examines how systems behaved, how power was presumably lost, and how events likely cascaded into a dual engine flameout. Understanding this chain of events can help prevent its repetition.


Access the full illustrated dossier here (PDF):




 
 
 

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