系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (7): 2333-2339.doi: 10.12305/j.issn.1001-506X.2026.07.18

• 系统工程 • 上一篇    

基于确信可靠性理论的离子电推进可靠性分配、评价与提升方法研究

李婧, 陈娟娟, 张兴民, 贾艳辉   

  1. 兰州空间技术物理研究所真空技术与物理全国重点实验室,甘肃 兰州 730000
  • 收稿日期:2025-04-30 修回日期:2025-09-04 出版日期:2026-01-26 发布日期:2026-01-26
  • 通讯作者: 贾艳辉
  • 基金资助:
    国家自然科学基金(62371213)资助课题

Research on reliability allocation, evaluation, and improvement method based on belief reliability theory for ion electric propulsion

Jing LI, Juanjuan CHEN, Xingmin ZHANG, Yanhui JIA   

  1. National Key Laboratory on Vacuum Technology and Physics,Lanzhou Institute of Physics,Lanzhou 730000,China
  • Received:2025-04-30 Revised:2025-09-04 Online:2026-01-26 Published:2026-01-26
  • Contact: Yanhui JIA

摘要:

为解决深空探测用航天器离子电推进系统中离子电推进可靠性提升问题,提出基于确信可靠性理论的离子电推进可靠性分配、评价与提升方法。首先,开展基于技术成熟度的离子电推进可靠性分配。然后,对当前设计下离子电推进各部件的任务可靠性进行评价。最后,针对不符合可靠性要求的部件单元,通过提高失效阈值、延缓溅射刻蚀和降低电参数不确定性等措施进行可靠性提升。案例研究结果表明,基于确信可靠性理论的方法可有效实现给定可靠性要求下20 cm离子电推进的可靠性分配、评价与提升。所提方法克服了传统数据驱动方法在小样本、长寿命及双重不确定性共存场景下的局限,其分析精度满足深空探测任务要求。

关键词: 离子电推进, 确信可靠性, 可靠性分配, 可靠性评价, 可靠性提升

Abstract:

To address the issue of improving the reliability of ion electric propulsion in spacecraft ion electric propulsion systems for deep space exploration, a reliability allocation, evaluation, and improvement method based on belief reliability theory for ion electric propulsion is proposed. Firstly, carry out reliability allocation for ion electric propulsion based on technological maturity. Secondly, evaluate the task reliability of each component of ion electric propulsion with the current design. Finally, for component units that do not meet reliability requirements, measures such as increasing the failure threshold, delaying sputtering etching, and reducing electrical parameter uncertainty are taken to improve reliability. The results of the case study indicate that the method based on belief reliability theory can effectively achieve reliability allocation, evaluation, and improvement of 20 cm ion electric propulsion with given reliability requirements. The proposed method overcomes the limitations of traditional data-driven methods in scenarios with small samples, long lifetimes, and dual uncertainties, and its analysis accuracy meets the requirements of deep space exploration tasks.

Key words: ion electric propulsion, belief reliability, reliability allocation, reliability evaluation, reliability improvement

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