Data augmentation for predictive maintenance: Synthesising aircraft landing gear datasets

Abstract In the aviation industry, predictive maintenance is vital to minimise Unscheduled faults and maintain the operational availability of aircraft. However, the amount of open data available for research is limited due to the proprietary nature of aircraft data. In this work, six time‐series da...

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Bibliographic Details
Main Authors: Izaak Stanton, Kamran Munir, Ahsan Ikram, Murad El‐Bakry
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Engineering Reports
Subjects:
Online Access:https://doi.org/10.1002/eng2.12946
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