在不确定的条件下,着陆引回系统的故障诊断与绑定图表在不确定条件下
Jie Chen1, Chen Li1, Jingwen Fan1
1Northwestern Polytechnical University, Xi'an, Shaanxi 710072, People's Republic of China.
The Review of scientific instruments
|July 30, 2024
概括
本研究引入了对飞机着陆系统的改进型基于模型的故障诊断,解决了有限的数据和不确定性. 该子系统方法提高了对关键航空航天应用的诊断准确性和可靠性.
科学领域:
- 航空航天工程 航空航天工程
- 机械工程 机械工程
- 系统工程 系统工程
背景情况:
- 飞机着陆 retractor系统需要强大的故障诊断,由于有限的历史数据和固有的操作不确定性.
- 现有的基于模型的方法在不确定的条件下准确地反映复杂系统时面临挑战.
研究的目的:
- 建议改进飞机着陆收回装置系统的故障诊断方法,以提高诊断效率.
- 解决数据不足和故障诊断中的多种不确定性来源所带来的挑战.
主要方法:
- 一种基于模型的故障诊断方法,使用诊断键图 (DBG) 模型来比较剩余值与值.
- 使用AMESim®模拟着陆收回系统,以克服有限的故障数据.
- 应用线性分数转换 (LFT) 和一种新的子系统方法来处理参数和结构不确定性.
主要成果:
- 与LFT-DBG方法相比,子系统方法显示出更高的故障诊断准确性和可靠性.
- 提出的方法有效地解决了数据缺陷,并管理了复杂工程系统中的不确定性.
- 实验结果验证了基于子系统的故障诊断策略的有效性.
结论:
- 基于子系统的故障诊断方法是飞机着陆系统的可行和有效策略.
- 这种方法为改善航空航天工程中的诊断能力提供了巨大的潜力.
- 该研究强调了处理不确定性对于关键系统可靠故障诊断的重要性.
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