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使用云端系统对飞机燃料进行生物灵感故障诊断

Yang Miao^1,2, Yantang Li¹, Jun Pan³

¹Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China.

Biomimetics (Basel, Switzerland)

|December 22, 2023

概括

一种新的云边缘方法增强了飞机燃料健康监测. 这种方法可以提高故障检测和分类的准确性,确保更安全的航空运营.

科学领域:

航空航天工程航空航天工程
计算机科学计算机科学
机械工程机械工程

背景情况:

飞机燃料是关键部件,需要实时监控.
传感器数据的增加压倒了传统的预测和健康管理 (PHM) 系统,降低了效率.
需要一种新的方法来处理大量的数据并保持计算效率.

研究的目的:

为飞机燃料提出一种新的健康监测方法.
利用云端计算进行高效的数据处理和分析.
为了实现及时的故障警告和准确的故障分类.

主要方法:

开发了一个协作云端框架,用于监控飞机燃料.
在边缘实施了一个异常判断方法,使用3σ值和"3/5战略".
使用云中的卷积自动编码器进行故障诊断和严重程度评估.

主要成果:

与传统的机器学习模型相比,拟议的云端方法显示出更高的准确性.
与长期短期记忆 (LSTM) 网络相比,准确度的提高为4.35%.
与卷积神经网络 (CNN),极端学习机器 (ELM) 和支持矢量机器 (SVM) 相比,分别观察到6.40%,17.65%和19.35%的显著准确度增长.

结论:

拟议的云端方法对于监测飞机燃料状况非常有效.
该方法为实时故障检测和分类提供了计算效率高,准确的解决方案.
边缘和云资源的整合提高了飞机燃料系统的可靠性和安全性.

关键词:

3/5 战略策略 3/5 战略策略飞机燃油是飞机燃油的一种方式.云边缘协作云边缘协作错误诊断错误诊断错误诊断是一个问题.卫生监测健康监测

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