What can we learn from Severity Index on Flight Data Monitoring? Investigating the impacts of COVID-19 disrupting pilots' proficiency
Date
2023-02-28 09:06
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Dataset
ISSN
Format
Free to read from
Citation
Li, Wen-Chin; Nichanian, Arthur; Braithwaite, Graham; Lin, John (2023). What can we learn from Severity Index on Flight Data Monitoring? Investigating the impacts of COVID-19 disrupting pilots' proficiency. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.22186183
Abstract
FDM data containing 4,761 FDM exceedance events retrieved from 123,140 flights on both Airbus and Boeing aircraft, operated in an international airline was collected from June 2019 to May 2021 for 24 months and was classified under three eight-month stages. The severity index on FDM was analyzed by event category, aircraft type, and flight phase.
Description
Software Description
Software Language
Github
Keywords
Flight Data Monitoring, 'risk assessment methods'
DOI
10.17862/cranfield.rd.22186183
Rights
CC BY 4.0
Relationships
Relationships
Supplements
Funder/s
Higher Education Innovation Fund (HEIF 2020-2021)