AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET

Data-driven predictive aircraft maintenance approach typically results in lower maintenance costs, avoiding unnecessary preventive maintenance actions and reducing unexpected failures. Information provided by a reliability analysis of aircraft components and systems can improve an existing maintenan...

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Bibliographic Details
Main Authors: Onyedikachi Chioma OKORO, Maksym ZALISKYI, Dmytriiev SERHII, Ibinabo ABULE
Format: Article
Language:English
Published: Silesian University of Technology 2023-03-01
Series:Scientific Journal of Silesian University of Technology. Series Transport
Subjects:
Online Access:https://sjsutst.polsl.pl/archives/2023/vol118/207_SJSUTST118_2023_Okoro_Zaliskyi_Serhii_Abule.pdf
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Summary:Data-driven predictive aircraft maintenance approach typically results in lower maintenance costs, avoiding unnecessary preventive maintenance actions and reducing unexpected failures. Information provided by a reliability analysis of aircraft components and systems can improve an existing maintenance strategy and ensure an optimal maintenance task interval. For reliability work, the exponential distribution is typically used; however, this approach requires substantial amounts of data, which often may not be generated by aviation operations. Therefore, this study proposes a method for reliability analysis given a small dataset. Real-life historical data of an aircraft operating in Nigeria validate the proposed approach and prove its applicability.
ISSN:0209-3324
2450-1549