Volume 44 Issue 6
Dec.  2024
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JIN Xin, HE Yufeng. SysML-based Fault Diagnosis Method for Space Payload Systems (in Chinese). Chinese Journal of Space Science, 2024, 44(6): 1120-1133 doi: 10.11728/cjss2024.06.2023-0109
Citation: JIN Xin, HE Yufeng. SysML-based Fault Diagnosis Method for Space Payload Systems (in Chinese). Chinese Journal of Space Science, 2024, 44(6): 1120-1133 doi: 10.11728/cjss2024.06.2023-0109

SysML-based Fault Diagnosis Method for Space Payload Systems

doi: 10.11728/cjss2024.06.2023-0109 cstr: 32142.14.cjss.2023-0109
  • Received Date: 2023-10-07
  • Rev Recd Date: 2024-01-30
  • Available Online: 2024-03-29
  • Aiming at the characteristics of high complexity and high reliability requirements of space payload systems, a fault diagnosis method based on SysML (System Modeling Language) is designed. The method incorporates the idea of MBSE (Model Based System Engineering), and proposes a failure analysis process of space payload system based on SysML. First, a failure analysis related model is established for the space payload system based on SysML, in which the SysML meta-model is extended and defined to meet the needs of failure analysis modeling, thus realizing the description of inter-component relationships and the relationship between the fault characterization and the directly related components. Then, an overall framework for fault diagnosis is constructed based on the constructed model, and the conversion logic from the SysML models to FTA (Fault Tree Analysis) is provided, thus finally obtaining all fault possibilities. Finally, this paper demonstrates the specific process of the method in practical application through case studies and verifies the effectiveness and practicality of the method.

     

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  • [1]
    WANG D Y, FU F Z, LI W B, et al. A review of the diagnosability of control systems with applications to spacecraft[J]. Annual Reviews in Control, 2020, 49: 212-229 doi: 10.1016/j.arcontrol.2020.03.004
    [2]
    WANG Yakun, YANG Kaifei, ZHANG Jie, et al. Case study of in-orbit satellite failures and artificial intelligence based failure detection[J]. Chinese Space Science and Technology, 2022, 42(1): 16-29
    [3]
    SAMSON O T, MICHAEL I O, AKANNI A A, et al. A review of failure analyses in engineering: causes, effects and possible solutions[C]//2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG). Omu-Aran: IEEE, 2023: 1-8
    [4]
    TIMPERLEY L, BERTHOUD L. Reliability analysis and failure mitigation strategies for the PROVE pathfinder CubeSat payload[C]//2022 IEEE Aerospace Conference (AERO). Big Sky: IEEE, 2022: 1-18
    [5]
    YAZDI M, MOHAMMADPOUR J, LI H, et al. Fault tree analysis improvements: a bibliometric analysis and literature review[J]. Quality and Reliability Engineering International, 2023, 39(5): 1639-1659 doi: 10.1002/qre.3271
    [6]
    RAJENDRAN R, DHANRAJ J A. A Fault Tree Analysis (FTA) focusing the design attributes and Decision Tree Analysis (DTA) comparing payload: weight for various adhesive mechanism of wall climbing robot[J]. International Journal of Intelligent Systems and Applications in Engineering, 2023, 11(5s): 606-617
    [7]
    LAWRENCE S, LOVELESS D. System-level radiation effects modeling using temporal fault trees[C]//2023 IEEE Aerospace Conference. Big Sky: IEEE, 2023: 1-14
    [8]
    AMMONS K J. Concept of Operations and Failure Analysis for A Complex Deployable CubeSat Antenna Payload[D]. Cambridge: Massachusetts Institute of Technology, 2022
    [9]
    MOHAN A B, AMBILIKUMAR C K. Advancements in failure mode and effect analysis: a review[C]//2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS). Kottayam: IEEE, 2022: 1-6
    [10]
    JONES M, FRETZ K, KUBOTA S, et al. The use of the expanded FMEA in spacecraft fault management[C]//2018 Annual Reliability and Maintainability Symposium (RAMS). Reno: IEEE, 2018: 1-6
    [11]
    DELLIGATTI L. SysML Distilled: a Brief Guide to the Systems Modeling Language[M]. Upper Saddle River: Addison-Wesley, 2013
    [12]
    FRIEDENTHAL S, MOORE A, STEINER R. A Practical Guide to SysML: the Systems Modeling Language[M]. 3rd ed. Waltham: Morgan Kaufmann, 2015
    [13]
    HE Yufeng. Research of Key Technologies on Intelligent Test for Payload System[D]. Beijing: The University of Chinese Academy of Sciences, 2011
    [14]
    WANG Jing. Research on Technology of Generating Test Cases Intelligently for Payload System[D]. Beijing: University of Chinese Academy of Sciences (National Space Science Center, Chinese Academy of Sciences), 2018
    [15]
    CUI Xiaojie, LU Dengbai, MA Dongtao, et al. Research progress of high temperature material science experimental equipment for space application[J]. Manned Spaceflight, 2023, 29(4): 455-463 doi: 10.3969/j.issn.1674-5825.2023.04.005
    [16]
    张振忠, 孔文俊, 张华良. 空间站燃烧科学实验系统设计[J]. 空间科学学报, 2020, 40(1): 72-78 doi: 10.11728/cjss2020.01.072

    ZHANG Zhenzhong, KONG Wenjun, ZHANG Hualiang. Design of combustion science experimental system for China space station[J]. Chinese Journal of Space Science, 2020, 40(1): 72-78 doi: 10.11728/cjss2020.01.072
    [17]
    LI Yongyong, ZHANG Yongjin, ZHANG Yanjun. Design of vehicle fault diagnosis expert system based on petri net[J]. Mechanical Engineering & Automation, 2020(1): 4-7
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