Reliability Evaluation of Landing Gear Retraction/Extension Accuracy Based on Bayesian Theory

The angular motion of aircraft landing gear retraction and extension must be accurate to ensure flight safety. Therefore, this study experimentally evaluated the motion accuracy of the landing gear retraction and extension processes associated with a specific aircraft to construct a reliability evaluation model for the landing gear angle. Considering the limitations of data acquisition in practical applications, the Bayesian method, which combines prior knowledge with experimentally measured data to reasonably estimate the variable parameters in the evaluation model, was applied to obtain more accurate parameter distributions. The constructed Bayesian-updated iterative model was shown to effectively expand upon limited test data to provide a novel approach for accurately evaluating landing gear angle reliability. The results of this study not only enrich the theoretical basis underpinning aircraft landing gear reliability assessment but also provide a valuable reference for technical support and decision-making in related engineering practice.

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Publication Details

Journal
Aerospace
Published
2025-04-01
DOI
https://doi.org/10.3390/aerospace12040300
Citations
3
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
4.20
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article

Reliability Evaluation of Landing Gear Retraction/Extension Accuracy Based on Bayesian Theory

Yao Li, Feng Zhang, Yuxiang Tian, Y. Lv et al.
3 citations
Aerospace
Probabilistic and Robust Engineering Design
4.20
article

Reliability Evaluation of Landing Gear Retraction/Extension Accuracy Based on Bayesian Theory

Yao Li, Feng Zhang, Yuxiang Tian, Y. Lv, Xianmin Chen
article en
3 citations

Abstract

The angular motion of aircraft landing gear retraction and extension must be accurate to ensure flight safety. Therefore, this study experimentally evaluated the motion accuracy of the landing gear retraction and extension processes associated with a specific aircraft to construct a reliability evaluation model for the landing gear angle. Considering the limitations of data acquisition in practical applications, the Bayesian method, which combines prior knowledge with experimentally measured data to reasonably estimate the variable parameters in the evaluation model, was applied to obtain more accurate parameter distributions. The constructed Bayesian-updated iterative model was shown to effectively expand upon limited test data to provide a novel approach for accurately evaluating landing gear angle reliability. The results of this study not only enrich the theoretical basis underpinning aircraft landing gear reliability assessment but also provide a valuable reference for technical support and decision-making in related engineering practice.

AerospaceVol. 12(4)
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 6%
Probabilistic and Robust Engineering Design
4.20
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Reliability Evaluation of Landing Gear Retraction/Extension Accuracy Based on Bayesian Theory — Yao Li, Feng Zhang, et al. · Aerospace (2025) | TGRS Research Map | TGRS