IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i12p2125-d122766.html
   My bibliography  Save this article

Boolean Network-Based Sensor Selection with Application to the Fault Diagnosis of a Nuclear Plant

Author

Listed:
  • Zhe Dong

    (Institute of Nuclear and New Energy Technology, Collaborative Innovation Centre of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing 100084, China)

Abstract

Fault diagnosis is crucial for the operation of energy systems such as nuclear plants, and heavily relies on various types of sensors for temperature, pressure, concentration, etc. Due to the redundancy of sensors in each energy system, the sensor selection scheme can deeply influence the diagnostic efficiency. In this paper, a Boolean network (BN) with its linear representation is proposed for describing the fault propagation among sensors. Both the sufficient condition of fault detectability and that of fault discriminability are given. Then, a sensor selection method for fault detection and discrimination is proposed. Finally, the theoretic result is applied to realize the diagnosis oriented sensor selection for a nuclear steam supply system based on a modular high temperature gas-cooled reactor (MHTGR). The computation and simulation results verify the correctness of the theoretical results.

Suggested Citation

  • Zhe Dong, 2017. "Boolean Network-Based Sensor Selection with Application to the Fault Diagnosis of a Nuclear Plant," Energies, MDPI, vol. 10(12), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2125-:d:122766
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/12/2125/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/12/2125/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2017. "Model-free adaptive control law for nuclear superheated-steam supply systems," Energy, Elsevier, vol. 135(C), pages 53-67.
    2. Zhe Dong & Yifei Pan & Zuoyi Zhang & Yujie Dong & Xiaojin Huang, 2017. "Modeling and Control of Fluid Flow Networks with Application to a Nuclear-Solar Hybrid Plant," Energies, MDPI, vol. 10(11), pages 1-21, November.
    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. Wang, Pengfei & Zhang, Jiaxuan & Wan, Jiashuang & Wu, Shifa, 2022. "A fault diagnosis method for small pressurized water reactors based on long short-term memory networks," Energy, Elsevier, vol. 239(PC).
    2. Wang, Yu & Yang, Yujing & Liu, Yang & Lou, Jungang, 2022. "Fault detection and pinning control of Boolean networks," Applied Mathematics and Computation, Elsevier, vol. 429(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. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Dynamical modeling and simulation of the six-modular high temperature gas-cooled reactor plant HTR-PM600," Energy, Elsevier, vol. 155(C), pages 971-991.
    2. Dong, Zhe & Liu, Miao & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2019. "Automatic generation control for the flexible operation of multimodular high temperature gas-cooled reactor plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 11-31.
    3. Zhang, Tianhao & Dong, Zhe & Huang, Xiaojin, 2024. "Multi-objective optimization of thermal power and outlet steam temperature for a nuclear steam supply system with deep reinforcement learning," Energy, Elsevier, vol. 286(C).
    4. Yunlong Zhu & Zhe Dong & Xiaojin Huang & Yujie Dong & Yajun Zhang & Zuoyi Zhang, 2022. "Passivity-Based Power-Level Control of Nuclear Reactors," Energies, MDPI, vol. 15(14), pages 1-11, July.
    5. Zhe Dong & Zhonghua Cheng & Yunlong Zhu & Xiaojin Huang & Yujie Dong & Zuoyi Zhang, 2023. "Review on the Recent Progress in Nuclear Plant Dynamical Modeling and Control," Energies, MDPI, vol. 16(3), pages 1-19, February.
    6. Hui, Jiuwu, 2024. "Discrete-time sliding mode prescribed performance controller via Kalman filter and disturbance observer for load following of a pressurized water reactor," Energy, Elsevier, vol. 302(C).
    7. Yang, Ping & Ling, Weihao & Tian, Ke & Zeng, Min & Wang, Qiuwang, 2023. "Flow distribution and heat transfer performance of two-phase flow in parallel flow heat exchange system," Energy, Elsevier, vol. 270(C).
    8. Dong, Zhe & Cheng, Zhonghua & Zhu, Yunlong & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2023. "Coordinated control of mHTGR-based nuclear steam supply systems considering cold helium temperature," Energy, Elsevier, vol. 284(C).
    9. Wu, Shifa & Ma, Xiaolong & Liu, Junfeng & Wan, Jiashuang & Wang, Pengfei & Su, G.H., 2023. "A load following control strategy for Chinese Modular High-Temperature Gas-Cooled Reactor HTR-PM," Energy, Elsevier, vol. 263(PA).
    10. Yu Jia & Zhenkui Wu & Jihong Zhang & Peihong Yang & Zilei Zhang, 2022. "Control Strategy of Flywheel Energy Storage System Based on Primary Frequency Modulation of Wind Power," Energies, MDPI, vol. 15(5), pages 1-14, March.
    11. Dong, Zhe & Li, Bowen & Li, Junyi & Guo, Zhiwu & Huang, Xiaojin & Zhang, Yajun & Zhang, Zuoyi, 2021. "Flexible control of nuclear cogeneration plants for balancing intermittent renewables," Energy, Elsevier, vol. 221(C).
    12. Dong, Zhe & Li, Bowen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2022. "Power-pressure coordinated control of modular high temperature gas-cooled reactors," Energy, Elsevier, vol. 252(C).
    13. Hui, Jiuwu & Yuan, Jingqi, 2022. "Load following control of a pressurized water reactor via finite-time super-twisting sliding mode and extended state observer techniques," Energy, Elsevier, vol. 241(C).
    14. Jiang, Di & Dong, Zhe, 2020. "Dynamic matrix control for thermal power of multi-modular high temperature gas-cooled reactor plants," Energy, Elsevier, vol. 198(C).
    15. Dong, Zhe & Li, Bowen & Li, Junyi & Jiang, Di & Guo, Zhiwu & Huang, Xiaojin & Zhang, Zuoyi, 2021. "Passivity based control of heat exchanger networks with application to nuclear heating," Energy, Elsevier, vol. 223(C).
    16. Wang, Linna & Chen, Chuqi & Chen, Lekang & Li, Zheng & Zeng, Wenjie, 2023. "A coordinated control methodology for small pressurized water reactor with steam dump control system," Energy, Elsevier, vol. 282(C).
    17. Dong, Zhe & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Multi-layer perception based model predictive control for the thermal power of nuclear superheated-steam supply systems," Energy, Elsevier, vol. 151(C), pages 116-125.
    18. Dong, Zhe & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2020. "Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system," Applied Energy, Elsevier, vol. 259(C).
    19. Lu, Nianci & Pan, Lei & Liu, Zhenxiang & Song, Yajun & Si, Paiyou, 2021. "Flexible operation control strategy for thermos-exchanger water level of two-by-one combined cycle gas turbine based on heat network storage utilization," Energy, Elsevier, vol. 232(C).
    20. Hui, Jiuwu & Yuan, Jingqi, 2022. "Neural network-based adaptive fault-tolerant control for load following of a MHTGR with prescribed performance and CRDM faults," Energy, Elsevier, vol. 257(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:gam:jeners:v:10:y:2017:i:12:p:2125-:d:122766. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.