Reliability Estimation of Retraction Mechanism Kinematic Accuracy under Small Sample

IF 2.2 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Eksploatacja I Niezawodnosc-Maintenance and Reliability Pub Date : 2023-11-09 DOI:10.17531/ein/174777
Yumeng Yan, Jiyuan Zhou, Yin Yin, Hong Nie, Xiaohui Wei, Taotao Liang
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Abstract

Due to intricate operating conditions, including structural clearances and assembly deviations, the acquisition of test data of landing gear retraction mechanism is limited, posing challenges for reliability analysis. To solve the problem, a Bayesian-based reliability analysis method by fusing prior and test data is proposed, focusing on the mechanism kinematic accuracy under small-sample conditions. Firstly, a dynamic simulation model is established to collect prior data, and retraction tests are conducted to obtain test data. Then, based on Bayesian theory, the motion accuracy parameter estimation model integrating prior and test samples is established. To obtain accurate hyper parameters, the prior samples are expanded using neural network. Finally, taking the retraction mechanism as the research object, the kinematic accuracy reliability is quantified, and the impact of uncertainty factors is analyzed in depth. The results show that the proposed method is superior to the classical interval estimation method in stability and effectively mitigates the impact of uncertainty factors.
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小样本条件下收放机构运动精度可靠性估计
由于起落架收放机构结构间隙、装配偏差等复杂工况,测试数据采集受限,给可靠性分析带来挑战。为解决这一问题,提出了一种融合先验数据和试验数据的贝叶斯可靠性分析方法,重点研究了机构在小样本条件下的运动精度。首先,建立动态仿真模型,收集先验数据,并进行缩回试验,获取试验数据;然后,基于贝叶斯理论,建立了先验和测试样本相结合的运动精度参数估计模型。为了获得准确的超参数,利用神经网络对先验样本进行扩展。最后,以该收放机构为研究对象,对其运动精度可靠性进行了量化,并对不确定因素的影响进行了深入分析。结果表明,该方法在稳定性上优于经典区间估计方法,并能有效减轻不确定性因素的影响。
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来源期刊
CiteScore
5.70
自引率
24.00%
发文量
55
审稿时长
3 months
期刊介绍: The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects. We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically. Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.
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