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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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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author Onyedikachi Chioma OKORO
Maksym ZALISKYI
Dmytriiev SERHII
Ibinabo ABULE
author_facet Onyedikachi Chioma OKORO
Maksym ZALISKYI
Dmytriiev SERHII
Ibinabo ABULE
author_sort Onyedikachi Chioma OKORO
collection DOAJ
description 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.
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institution DOAJ
issn 0209-3324
2450-1549
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publishDate 2023-03-01
publisher Silesian University of Technology
record_format Article
series Scientific Journal of Silesian University of Technology. Series Transport
spelling doaj-art-74be2e43b2cb44a6b15d503b6a112d2c2025-08-20T02:42:57ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492023-03-0111820721710.20858/sjsutst.2023.118.14AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASETOnyedikachi Chioma OKOROMaksym ZALISKYIDmytriiev SERHIIIbinabo ABULEData-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.https://sjsutst.polsl.pl/archives/2023/vol118/207_SJSUTST118_2023_Okoro_Zaliskyi_Serhii_Abule.pdfaircraft maintenancereliabilitysmall datasetaircraft systems
spellingShingle Onyedikachi Chioma OKORO
Maksym ZALISKYI
Dmytriiev SERHII
Ibinabo ABULE
AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET
Scientific Journal of Silesian University of Technology. Series Transport
aircraft maintenance
reliability
small dataset
aircraft systems
title AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET
title_full AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET
title_fullStr AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET
title_full_unstemmed AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET
title_short AN APPROACH TO RELIABILITY ANALYSIS OF AIRCRAFT SYSTEMS FOR A SMALL DATASET
title_sort approach to reliability analysis of aircraft systems for a small dataset
topic aircraft maintenance
reliability
small dataset
aircraft systems
url https://sjsutst.polsl.pl/archives/2023/vol118/207_SJSUTST118_2023_Okoro_Zaliskyi_Serhii_Abule.pdf
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