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

被引：0

作者：

Okoro, Onyedikachi Chioma ^{[1
]}

Zaliskyi, Maksym ^{[2
]}

Serhii, Dmytriiev ^{[3
]}

Abule, Ibinabo ^{[4
]}

机构：

[1] Natl Aviat Univ, Dept Continuing Airworthiness, Liubomyra Huzara Ave, 1, Kiev, Ukraine

[2] Natl Aviat Univ, Dept Telecommun & Radioelect Syst, Liubomyra Huzara Ave, 1, Kiev, Ukraine

[3] Natl Aviat Univ, Dept Continuing Airworthiness, Liubomyra Huzara Ave, 1, Kiev, Ukraine

[4] Bristow Helicopters Nigeria Ltd, Gen Aviat Area Murtala Muhammed Airport, Ikeja, Nigeria

来源：

SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT | 2023年 / 118卷

关键词：

aircraft maintenance; reliability; small dataset; aircraft systems; PREDICT;

D O I：

10.20858/sjsutst.2023.118.14

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

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.

引用

页码：207 / 217

页数：11

共 25 条

[1] Cost estimation for general aviation aircrafts using regression models and variable importance in projection analysis [J].

Chen, Xiaonan ;

Huang, Jun ;

Yi, Mingxu .

JOURNAL OF CLEANER PRODUCTION, 2020, 256

[2] Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy [J].

Combrisson, Etienne ;

Jerbi, Karim .

JOURNAL OF NEUROSCIENCE METHODS, 2015, 250 :126-136

[3] Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size [J].

D'souza, Rhett N. ;

Huang, Po-Yao ;

Yeh, Fang-Cheng .

SCIENTIFIC REPORTS, 2020, 10 (01)

[4] Analysis of small sample size studies using nonparametric bootstrap test with pooled resampling method [J].

Dwivedi, Alok Kumar ;

Mallawaarachchi, Indika ;

Alvarado, Luis A. .

STATISTICS IN MEDICINE, 2017, 36 (14) :2187-2205

[5] PREDICTION OF AIR-TRAVEL AND AIRCRAFT TECHNOLOGY TO YEAR 2000 USING DELPHI METHOD [J].

ENGLISH, JM ;

KERNAN, GL .

TRANSPORTATION RESEARCH, 1976, 10 (01) :1-8

[6] A generalized mean distance-based k-nearest neighbor classifier [J].

Gou, Jianping ;

Ma, Hongxing ;

Ou, Weihua ;

Zeng, Shaoning ;

Rao, Yunbo ;

Yang, Hebiao .

EXPERT SYSTEMS WITH APPLICATIONS, 2019, 115 :356-372

[7] Creation of Publicly Available Data Sets for Prognostics and Diagnostics Addressing Data Scenarios Relevant to Industrial Applications [J].

Hagmeyer, Simon ;

Mauthe, Fabian ;

Zeiler, Peter .

INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2021, 12 (02)

[8] Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data [J].

Han, Liang ;

Yang, Guijun ;

Dai, Huayang ;

Xu, Bo ;

Yang, Hao ;

Feng, Haikuan ;

Li, Zhenhai ;

Yang, Xiaodong .

PLANT METHODS, 2019, 15 (1)

[9] Rethinking Maintenance Terminology for an Industry 4.0 Future [J].

Hodkiewicz, Melinda ;

Lukens, Sarah ;

Brundage, Michael P. ;

Sexton, Thurston .

INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2021, 12 (01)

[10] The "killing zone" revisited: Serial nonlinearities predict general aviation accident rates from pilot total flight hours [J].

Knecht, William R. .

ACCIDENT ANALYSIS AND PREVENTION, 2013, 60 :50-56

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