Non-Parametric Reliability Analysis of Selected Aviation Components

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564727" target="_blank" >RIV/60162694:G43__/26:00564727 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11060903" target="_blank" >https://ieeexplore.ieee.org/document/11060903</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11060903" target="_blank" >10.1109/ICMT65201.2025.11060903</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Non-Parametric Reliability Analysis of Selected Aviation Components

Popis výsledku v původním jazyce

This article focuses on the reliability of position lights in Aero L-159 Alca aircraft using nonparametric methods. Position lights are an essential part of flight safety, ensuring visibility and recognition of the aircraft during various flight phases. Building upon previous research, which relied on a homogeneous Poisson process, this study plans to apply nonparametric approaches, such as probability function estimation, density estimation, and kernel density estimation. The research highlights the advantages of these methods, such as flexibility in handling diverse data distributions, while addressing their drawbacks, including higher computational demands. The results will be compared with parametric approaches to evaluate their efficiency and practical impacts on fleet maintenance and operation. This study provides new insights into reliability modelling, which can be leveraged to enhance safety and predict failures in aviation. © 2025 IEEE.

Název v anglickém jazyce

Non-Parametric Reliability Analysis of Selected Aviation Components

Popis výsledku anglicky

This article focuses on the reliability of position lights in Aero L-159 Alca aircraft using nonparametric methods. Position lights are an essential part of flight safety, ensuring visibility and recognition of the aircraft during various flight phases. Building upon previous research, which relied on a homogeneous Poisson process, this study plans to apply nonparametric approaches, such as probability function estimation, density estimation, and kernel density estimation. The research highlights the advantages of these methods, such as flexibility in handling diverse data distributions, while addressing their drawbacks, including higher computational demands. The results will be compared with parametric approaches to evaluate their efficiency and practical impacts on fleet maintenance and operation. This study provides new insights into reliability modelling, which can be leveraged to enhance safety and predict failures in aviation. © 2025 IEEE.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

INTERNATIONAL CONFERENCE ON MILITARY TECHNOLOGIES

ISBN

979-8-3315-2338-1

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Brno

Místo konání akce

Brno, Czech Republic

Datum konání akce

27. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545807300007