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Research on Safety Sensitivity Analysis Method Based on System Design Model

In: Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

Author

Listed:
  • Ran Huang

    (Astronaut Center of China)

  • Shenquan Wang

    (Astronaut Center of China)

  • Qibo Peng

    (Astronaut Center of China)

  • Shuai Wang

    (Astronaut Center of China)

  • Yuanjun He

    (China Manned Space Engineering Office)

Abstract

This paper embeds safety sensitivity analysis into model-based systems engineering (MBSE) design, constructs a safety sensitivity analysis framework based on system design models, and establishes a model-driven safety design process and sensitivity analysis procedures oriented to complex tasks. The moment-independent importance measure analysis method is adopted, and the measure values are used to directly identify the key risk factors that play a leading role in the task. This study addresses the problems of unknown or difficult-to-accurately-fit new single-machine failure rate distributions under multi-system integration, interactive interference between variables, and the difficulty in identifying key variables in multi-system coupled tasks, thereby providing a clear target for subsequent scheme optimization and risk management and control.

Suggested Citation

  • Ran Huang & Shenquan Wang & Qibo Peng & Shuai Wang & Yuanjun He, 2026. "Research on Safety Sensitivity Analysis Method Based on System Design Model," Advances in Economics, Business and Management Research, in: Ljiljana Trajkovic & José Alfredo F. Costa & Zaher Al Aghbari & Nor Azman Ismail & Dariusz Jacek Jak (ed.), Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026), pages 49-60, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-689-0_6
    DOI: 10.2991/978-94-6239-689-0_6
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