IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v229y2023ics0951832022004835.html
   My bibliography  Save this article

Event-based safety and reliability analysis integration in model-based space mission design

Author

Listed:
  • Hu, Yunpeng
  • Peng, Qibo
  • Ni, Qing
  • Wu, Xinfeng
  • Ye, Dongming

Abstract

Model-based safety and reliability (S&R) analysis, which improves analysis accuracy and reduces cost and development time is applied in various industries. With the developments in model-based systems engineering (MBSE) and the use of systems modelling language (SysML), S&R analysis based on SysML models is gaining more attention. However, the emerging methods are inadequate for complex space missions. Thus, the main objective of this study involves integrating S&R analysis in SysML-based space mission design. First, a framework for integrating S&R analysis in model-based space mission design is presented. Based on the characteristics of the development of complex space missions and the MBSE process, a multisystem collaborative failure analysis method is proposed to comprehensively identify the failure modes (FMs) of the entire system. Subsequently, an event-based analysis method integrating the process of functional architecture definition is proposed, which fills the identified gaps in model-based S&R analysis for mission-level systems. Based on the identified FMs and proposed criterion, the event tree can be mapped from the SysML activity diagram. Finally, the proposed methodology is applied to a case study of a complex space mission in the near future: the manned mission to the Moon.

Suggested Citation

  • Hu, Yunpeng & Peng, Qibo & Ni, Qing & Wu, Xinfeng & Ye, Dongming, 2023. "Event-based safety and reliability analysis integration in model-based space mission design," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004835
    DOI: 10.1016/j.ress.2022.108866
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832022004835
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2022.108866?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Rui & Verhagen, Wim J.C. & Curran, Richard, 2020. "A systematic methodology for Prognostic and Health Management system architecture definition," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Desgeorges, Loïc & Piriou, Pierre-Yves & Lemattre, Thibault & Chraibi, Hassane, 2021. "Formalism and semantics of PyCATSHOO: A simulator of distributed stochastic hybrid automata," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Cressent, Robin & David, Pierre & Idasiak, Vincent & Kratz, Frederic, 2013. "Designing the database for a reliability aware Model-Based System Engineering process," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 171-182.
    4. Li, Xiang-Yu & Xiong, Xiaoyan & Guo, Junyu & Huang, Hong-Zhong & Li, Xiaopeng, 2022. "Reliability assessment of non-repairable multi-state phased mission systems with backup missions," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    5. David, Pierre & Idasiak, Vincent & Kratz, Frédéric, 2010. "Reliability study of complex physical systems using SysML," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 431-450.
    6. Nejad, Hamed S. & Parhizkar, Tarannom & Mosleh, Ali, 2022. "Automatic generation of event sequence diagrams for guiding simulation based dynamic probabilistic risk assessment (SIMPRA) of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Stewart, Danielle & Liu, Jing (Janet) & Cofer, Darren & Heimdahl, Mats & Whalen, Michael W. & Peterson, Michael, 2021. "AADL-Based safety analysis using formal methods applied to aircraft digital systems," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    8. Martin, H. & Ma, Z. & Schmittner, Ch. & Winkler, B. & Krammer, M. & Schneider, D. & Amorim, T. & Macher, G. & Kreiner, Ch., 2020. "Combined automotive safety and security pattern engineering approach," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    9. Bozzano, Marco & Cimatti, Alessandro & Katoen, Joost-Pieter & Katsaros, Panagiotis & Mokos, Konstantinos & Nguyen, Viet Yen & Noll, Thomas & Postma, Bart & Roveri, Marco, 2014. "Spacecraft early design validation using formal methods," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 20-35.
    10. Parhizkar, Tarannom & Utne, Ingrid Bouwer & Vinnem, Jan Erik & Mosleh, Ali, 2021. "Supervised dynamic probabilistic risk assessment of complex systems, part 2: Application to risk-informed decision making, practice and results," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Song, Xueying & Qi, Lei & Liu, Shiyan & Ding, Shuiting & Li, Daqing, 2024. "Simple analysis of complex system safety based on Finite State Machine Network and phase space theory," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. den Heijer, Frank & Kok, Matthijs, 2024. "Risk-based portfolio planning of dike reinforcements," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    3. Dasgupta, Agnimitra & Johnson, Erik A., 2024. "REIN: Reliability Estimation via Importance sampling with Normalizing flows," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    4. Gan, Chenyu & Ding, Shuiting & Qiu, Tian & Liu, Peng & Ma, Qinglin, 2024. "Model-based safety analysis with time resolution (MBSA-TR) method for complex aerothermal–mechanical systems of aero-engines," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Park, Jong Woo & Lee, Seung Jun, 2022. "Simulation optimization framework for dynamic probabilistic safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    2. Lipaczewski, Michael & Ortmeier, Frank & Prosvirnova, Tatiana & Rauzy, Antoine & Struck, Simon, 2015. "Comparison of modeling formalisms for Safety Analyses: SAML and AltaRica," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 191-199.
    3. Zang, Yu & Shangguan, Wei & Cai, Baigen & Wang, Huasheng & Pecht, Michael. G., 2021. "Hybrid remaining useful life prediction method. A case study on railway D-cables," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    4. Chelouati, Mohammed & Boussif, Abderraouf & Beugin, Julie & El Koursi, El-Miloudi, 2023. "Graphical safety assurance case using Goal Structuring Notation (GSN) — challenges, opportunities and a framework for autonomous trains," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Cressent, Robin & David, Pierre & Idasiak, Vincent & Kratz, Frederic, 2013. "Designing the database for a reliability aware Model-Based System Engineering process," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 171-182.
    6. Cheng, Ruijun & Cheng, Yu & Chen, Dewang & Song, Haifeng, 2021. "Online quantitative safety monitoring approach for unattended train operation system considering stochastic factors," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    7. Zou, Xinyu & Tao, Laifa & Sun, Lulu & Wang, Chao & Ma, Jian & Lu, Chen, 2023. "A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    8. Bolton, Matthew L. & Molinaro, Kylie A. & Houser, Adam M., 2019. "A formal method for assessing the impact of task-based erroneous human behavior on system safety," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 168-180.
    9. Vrignat, Pascal & Kratz, Frédéric & Avila, Manuel, 2022. "Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    10. Cheng, Ruijun & Zhou, Jin & Chen, Dewang & Song, Yongduan, 2016. "Model-based verification method for solving the parameter uncertainty in the train control system," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 169-182.
    11. Yang, Zhe & Baraldi, Piero & Zio, Enrico, 2022. "A method for fault detection in multi-component systems based on sparse autoencoder-based deep neural networks," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    12. Park, Chan Hee & Kim, Hyeongmin & Suh, Chaehyun & Chae, Minseok & Yoon, Heonjun & Youn, Byeng D., 2022. "A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    13. Ye, Kewei & Wang, Han & Ma, Xiaobing, 2023. "A generalized dynamic stress-strength interference model under δ-failure criterion for self-healing protective structure," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    14. Zeng, Ying & Huang, Tudi & Li, Yan-Feng & Huang, Hong-Zhong, 2023. "Reliability modeling for power converter in satellite considering periodic phased mission," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    15. Wang, Chaonan & Xing, Liudong & Su, Yujie & Guan, Quanlong & Tang, Bo & Hu, Yuliang, 2023. "Reliability analysis of dynamic voting phased-mission systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    16. Maidana, Renan G. & Parhizkar, Tarannom & Gomola, Alojz & Utne, Ingrid B. & Mosleh, Ali, 2023. "Supervised dynamic probabilistic risk assessment: Review and comparison of methods," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    17. Aleksander Buczacki & Piotr Piątek, 2021. "Proposal for an Integrated Framework for Electronic Control Unit Design in the Automotive Industry," Energies, MDPI, vol. 14(13), pages 1-26, June.
    18. Zhang, Liangwei & Lin, Jing & Shao, Haidong & Zhang, Zhicong & Yan, Xiaohui & Long, Jianyu, 2021. "End-to-end unsupervised fault detection using a flow-based model," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    19. Vasilyev, A. & Andrews, J. & Dunnett, S.J. & Jackson, L.M., 2021. "Dynamic Reliability Assessment of PEM Fuel Cell Systems," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    20. He, Jiahui & Cheng, Zhijun & Guo, Bo, 2024. "Anomaly detection in telemetry data using a jointly optimal one-class support vector machine with dictionary learning," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004835. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.