关键飞机系统和组件的预测和健康管理:概述
Shuai Fu1, Nicolas P Avdelidis1
1IVHM Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UK.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
预测和健康管理 (PHM) 通过预测子系统剩余使用寿命 (RUL) 来提高飞机安全. 本综述分析了当前的PHM算法,应用和挑战,强调了混合系统的未来研究方向.
科学领域:
- 航空航天工程 航空航天工程
- 可靠性工程可靠性工程
- 数据科学数据科学数据科学
背景情况:
- 预测和健康管理 (PHM) 对飞机的安全和可靠性至关重要.
- 它涉及对关键子系统进行主动监测和评估,以预测其余使用寿命 (RUL).
- PHM通过优先修复受损组件来支持基于条件的维护 (CBM).
研究的目的:
- 提供关于飞机预测研究当前进展的全面分析.
- 专注于突出的算法,它们的实际应用,以及相关的挑战.
- 确定未来的研究方向,特别是混合PHM集成.
主要方法:
- 对基于物理的建模,数据驱动的技术和混合预后方法的审查.
- 分析用于预测故障和识别健康指标的算法.
- 检查PHM中的实时数据分析和预测建模.
主要成果:
- 通过健康指标,PHM方法允许通过健康指标预测和减轻故障.
- 现有研究表明,航空PHM实施方面取得了有前途的成果.
- 关于混合PHM应用程序的高效集成的研究存在差距.
结论:
- 需要进一步的研究来解决混合PHM系统的高效集成问题.
- 了解突出的算法及其挑战是推动航空预测的关键.
- 持续发展PHM对于提高飞机系统的安全性和可靠性至关重要.
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