Data investigation of PK-LQP airplane vertical deviation using class 1 and tier 1 datasets

• Autorzy: Passarella Rossi , Nurmaini Siti , Rachmatullah Muhammad Naufal , Veny Harumi , Ubaya Huda , Firdaus Firdaus

Identyfikatory

DOI

10.20858/sjsutst.2024.124.9

• Języki publikacji: EN

Abstrakty

EN

The vertical deviation is one of the important stages in commercial aircraft flights because indications of malfunction can be detected faster by the pilot rather than in other flight phases. The purpose of this study is to investigate whether the PK-LQP airplane experienced unusual altitude movements during the vertical deviation phase since the airplane taking off from Seattle (Boeing Manufacture's home base) until the airplane crash. The airplane, which is of the type B737 MAX8, had operated for 83 days, during which it completed 438 flights using a total of 107 flight codes, and it travelled to 36 airports. According to the findings of an investigation of the data, we found that only 69 (39%) were included in tier 1, which had an ADS-B data update interval message below 10 seconds, complying with ICAO and FAA-AVN standards. With this class 1 and tier 1 dataset, we conducted an EDA to find the data insight, which revealed that there was a disturbance in the speed and altitude indications on the airplane instrumentation, causing a misperception for the pilot and causing the airplane to drastically drop in altitude (more than 100 feet).

Słowa kluczowe

EN

airplane accident investigation; ADS-B data quality; message interval update; vertical deviation phase

PL

dochodzenie w sprawie wypadków lotniczych; jakość danych ADS-B; aktualizacja interwałów wiadomości; faza odchylenia pionowego

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2024
• Tom: z. 124
• Strony: 127--142
• Opis fizyczny: Bibliogr. 36 poz.

Twórcy

autor

Passarella Rossi

• Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-7243-0451

autor

Nurmaini Siti

• Intelligent System Research Group. Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-8024-2952

autor

Rachmatullah Muhammad Naufal

• Department of Informatics, Faculty of Computer Science. Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0003-3553-3475

autor

Veny Harumi

• Colleges of Engineering Studies, Universiti Teknologi MARA (UiTM) Shah Alam, Malaysia

• https://orcid.org/0000-0001-6604-3554

autor

Ubaya Huda

• Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0002-4240-149X

autor

Firdaus Firdaus

• Intelligent System Research Group. Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia

• https://orcid.org/0000-0003-2791-3486

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