IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v202y2020ics0951832020305676.html
   My bibliography  Save this article

Integrated Stateflow-based simulation modelling and testability evaluation for electronic built-in-test (BIT) systems

Author

Listed:
  • Shi, Junyou
  • He, Qingjie
  • Wang, Zili

Abstract

The simulation modelling for built-in test (BIT) system is an important approach to analyse the testability and evaluate the BIT performance. However, existing simulation modelling methods cannot satisfy the simulation requirements of abundant testability design factors, especially for the fault and interference injection and the test logic of BIT. Therefore, this paper proposes an integrated modelling and simulation method for BIT system based on Stateflow. This simulation modelling method has three highlights. 1) this method can dynamically realise the fault transmission and BIT monitoring processes under test. 2) this method can generate diagnostic knowledge through the fault injection function. 3) this method can calculate BIT performance metrics, especially the false alarm probability to realise more comprehensive testability evaluation. This paper firstly presents the BIT detection, isolation, and false alarm reduction logics and model formulation. Then the testability metrics and d-matrix calculation models are presented. Finally, the proposed method is applied in an example of an electronic secondary power conversion board. The testability metrics are reported by the simulation model, which comply with the real hardware analysis and experiment.

Suggested Citation

  • Shi, Junyou & He, Qingjie & Wang, Zili, 2020. "Integrated Stateflow-based simulation modelling and testability evaluation for electronic built-in-test (BIT) systems," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:reensy:v:202:y:2020:i:c:s0951832020305676
    DOI: 10.1016/j.ress.2020.107066
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832020305676
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2020.107066?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. Daniel Brenner & Colin Atkinson & Rainer Malaka & Matthias Merdes & Barbara Paech & Dima Suliman, 2007. "Reducing verification effort in component-based software engineering through built-in testing," Information Systems Frontiers, Springer, vol. 9(2), pages 151-162, July.
    2. Cui, Yiqian & Shi, Junyou & Wang, Zili, 2015. "An analytical model of electronic fault diagnosis on extension of the dependency theory," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 192-202.
    3. Yiqian Cui & Junyou Shi & Zili Wang, 2016. "Intermittent failure process and false alarm interaction modelling of threshold-based monitoring built-in tests (BITs)," International Journal of Production Research, Taylor & Francis Journals, vol. 54(6), pages 1610-1626, March.
    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. Mohammad Javad Rahimdel & Behzad Ghodrati, 2021. "Risk Prioritization for Failure Modes in Mining Railcars," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    2. Wang, Jingyuan & Liu, Zhen & Wang, Jiahong & Long, Bing & Zhou, Xiuyun, 2022. "A general enhancement method for test strategy generation for the sequential fault diagnosis of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 228(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. Xiaofeng Lv & Deyun Zhou & Yongchuan Tang & Ling Ma, 2018. "An Improved Test Selection Optimization Model Based on Fault Ambiguity Group Isolation and Chaotic Discrete PSO," Complexity, Hindawi, vol. 2018, pages 1-10, January.
    2. Tian, Heng & Duan, Fuhai & Fan, Liang & Sang, Yong, 2019. "Novel solution for sequential fault diagnosis based on a growing algorithm," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    3. Heng Tian & Fuhai Duan & Yong Sang & Liang Fan, 2020. "Novel algorithms for sequential fault diagnosis based on greedy method," Journal of Risk and Reliability, , vol. 234(6), pages 779-792, December.
    4. Wang, Jingyuan & Liu, Zhen & Wang, Jiahong & Long, Bing & Zhou, Xiuyun, 2022. "A general enhancement method for test strategy generation for the sequential fault diagnosis of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    5. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

    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:202:y:2020:i:c:s0951832020305676. 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.