Critical parameter identification for safety events in commercial aviation using machine learning

HK Lee, S Madar, S Sairam, TG Puranik, AP Payan… - Aerospace, 2020 - mdpi.com
In recent years, there has been a rapid growth in the application of data science techniques
that leverage aviation data collected from commercial airline operations to improve safety …

Leveraging aircraft transponder signals for measuring aircraft fleet mix at non-towered airports

C Yang, J Mott, DM Bullock - International Journal of Aviation …, 2021 - commons.erau.edu
The general aviation sector has contributed significantly to the overall growth of the aviation
industry. Fleet mix and operations information is important for the analysis of both the safety …

Phases of flight identification for rotorcraft operations

HJ Chin, A Payan, C Johnson, DN Mavris - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
TUDIES of rotorcraft accidents have shown that both the total number of accidents and the
number of fatal accidents per flight hour are exceedingly larger than those for fixed-wing …

Aircraft performance model calibration and validation for general aviation safety analysis

T Puranik, E Harrison, I Chakraborty, D Mavris - Journal of Aircraft, 2020 - arc.aiaa.org
Performance models facilitate a wide range of safety analyses in aviation. In an ideal
scenario, the performance models would show inherently good agreement with the true …

[PDF][PDF] A methodology for quantitative data-driven safety assessment for general aviation

TG Puranik - 2018 - researchgate.net
As my journey through graduate school draws to a close, I would like to acknowledge all
those who made this a great experience. First of all I would like to thank my adviser Prof …

Helicopter Approach Stability Analysis Using Flight Data Records

AP Payan, PN Lin, C Johnson, DN Mavris - 17th AIAA Aviation …, 2017 - arc.aiaa.org
Studies from the European Helicopter Safety Team (EHEST) and the International Helicopter
Safety Team (IHST)[1–3] show that about 45% of the helicopter accidents that occurred over …

Knowledge Discovery Within ADS-B Data from Routine Helicopter Tour Operations

HJ Chin, AP Payan, D Mavris, C Johnson - AIAA AVIATION 2020 …, 2020 - arc.aiaa.org
Knowledge discovery or data mining techniques are widely used for anomaly detection in
the commercial aviation domain to retrospectively improve operational safety. However, in …

Visual and Instrument Helicopter Approach Stability Analysis Using Data Fusion and Data Analytics

JN Robinson, AP Payan, C Johnson… - AIAA Scitech 2021 …, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-0528. vid Approach and landing
are among the most challenging and dangerous tasks required of helicopter pilots …

Rotorcraft takeoff analysis and classification to detect outlier operations that could present a safety risk

G Achour, RF Silva, AP Payan, CC Johnson… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3578. vid Various reports from
entities such as the Federal Aviation Administration (FAA) and the National Transportation …

Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics

JN Robinson, AP Payan, C Johnson… - Journal of Aerospace …, 2022 - arc.aiaa.org
Approach and landing are among the most challenging and dangerous tasks required of
helicopter pilots. Helicopter accident statistics suggest that the majority of helicopter …