XJTU-REF液体火箭发动机故障仿真数据集解读
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西安交通大学

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XJTU-REF Liquid Rocket Engine Fault Simulation Datasets: A Tutorial
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    摘要:

    可重复使用运载器是大幅降低航天发射成本和实现大规模航天应用最有效的手段和前提。故障诊断可以提高可重复使用发动机的可靠性、整体安全性和可持续性。对于当前的各类诊断方法,缺乏一个标准的火箭发动机故障数据库以进行统一的测试评价,制约了液体火箭发动机故障诊断技术的理论研究和工程应用。为解决上述问题,开展了式循环液体火箭发动机数学建模及故障模拟仿真实验,并将获取的实验数据集——XJTU-REF面向全球学者公开发布。该数据集共包含10种工况下19个发动机信号,包括正常工况和阀门故障、燃烧室故障、燃气发生器管路故障、涡轮泵故障等故障工况。数据集故障类型丰富,记录信息详细,可以为液体火箭发动机的故障诊断研究提供新鲜的数据支撑,助力可重复使用运载技术的进步与发展。

    Abstract:

    Reusable launch vehicles are the most effective means and prerequisite to greatly reduce the cost of space launch and realize large-scale space applications. Fault diagnosis can improve the reliability, overall safety and sustainability of reusable engines. For all kinds of current diagnosis methods, the lack of a standard engine fault database for unified test and evaluation restricts the theoretical research and engineering application of liquid rocket engine fault diagnosis technology. In order to solve the above problems, mathematical modeling and fault simulation experiments were carried out, and the obtained experimental data set was released to scholars around the world. The data set contains 19 engine signals under 10 operating conditions, including normal operating conditions and valve failure, combustion chamber failure, gas generator line failure, turbo pump failure and other fault conditions. The data set has rich fault types and detailed recorded information, which can provide fresh data support for the fault diagnosis research of liquid rocket engine and help the progress and development of reusable launch vehicle technology.

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  • 收稿日期:2024-06-25
  • 最后修改日期:2024-08-25
  • 录用日期:2024-08-28
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