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基于规则的建模方法的可解释性及其发展

周志杰 曹友 胡昌华 唐帅文 张春潮 王杰

周志杰, 曹友, 胡昌华, 唐帅文, 张春潮, 王杰. 基于规则的建模方法的可解释性及其发展. 自动化学报, 2021, 47(6): 1201−1216 doi: 10.16383/j.aas.c200402
引用本文: 周志杰, 曹友, 胡昌华, 唐帅文, 张春潮, 王杰. 基于规则的建模方法的可解释性及其发展. 自动化学报, 2021, 47(6): 1201−1216 doi: 10.16383/j.aas.c200402
Zhou Zhi-Jie, Cao You, Hu Chang-Hua, Tang Shuai-Wen, Zhang Chun-Chao, Wang Jie. The interpretability of rule-based modeling approach and its development. Acta Automatica Sinica, 2021, 47(6): 1201−1216 doi: 10.16383/j.aas.c200402
Citation: Zhou Zhi-Jie, Cao You, Hu Chang-Hua, Tang Shuai-Wen, Zhang Chun-Chao, Wang Jie. The interpretability of rule-based modeling approach and its development. Acta Automatica Sinica, 2021, 47(6): 1201−1216 doi: 10.16383/j.aas.c200402

基于规则的建模方法的可解释性及其发展

doi: 10.16383/j.aas.c200402
基金项目: 国家自然科学基金(61773388, 61751304, 61833016, 61702142), 陕西省杰出青年基金(2020JC-34)资助
详细信息
    作者简介:

    周志杰:火箭军工程大学教授. 2010年获得清华大学博士学位. 主要研究方向为证据推理, 置信规则库, 故障诊断, 安全性评估. E-mail: zhouzj04@tsinghua.org.cn

    曹友:火箭军工程大学博士研究生. 2017年获得哈尔滨理工大学学士学位. 主要研究方向为证据推理, 置信规则库, 安全性评估. 本文通信作者.E-mail: cy936756268@163.com

    胡昌华:火箭军工程大学教授, 长江学者. 1996年获得西北工业大学博士学位. 主要研究方向为故障诊断, 寿命预测. E-mail: hch66603@163.com

    唐帅文:火箭军工程大学博士研究生. 2017年获得火箭军工程大学学士学位. 主要研究方向为证据推理, 故障诊断, 安全性评估. E-mail: tsw631845201@163.com

    张春潮:火箭军工程大学博士研究生. 2019年获得长春理工大学学士学位. 主要研究方向为置信规则库, 故障诊断. E-mail: zhang1875349@163.com

    王杰:火箭军工程大学博士研究生. 2018年获得合肥工业大学学士学位. 主要研究方向为证据推理, 故障诊断, 安全性评估. E-mail: wj2802877478@163.com

The Interpretability of Rule-based Modeling Approach and Its Development

Funds: Supported by National Natural Science Foundation of China (61773388, 61751304, 61833016, 61702142), Shaanxi Outstanding Youth Science Foundation (2020JC-34)
More Information
    Author Bio:

    ZHOU Zhi-Jie Professor at Rocket Force University of Engineering. He received his Ph. D. degree from Tsinghua University in 2010. His research interest covers evidential reasoning, belief rule base, fault prognosis, safety assessment

    CAO You Ph. D. candidate at Rocket Force University of Engineering. He received his bachelor degree from Harbin University of Science and Technology in 2017. His research interest covers evidential reasoning, belief rule base, safety assessment. Corresponding author of this paper

    HU Chang-Hua Professor at Rocket Force University of Engineering, Cheung Kong Scholar. He received his Ph. D. degree from Northwestern Polytechnical University in 1996. His research interest covers fault prognosis and life prediction

    TAGN Shuai-Wen Ph. D. candidate at Rocket Force University of Engineering. He received his bachelor degree from Rocket Force University of Engineering in 2017. His research interest covers evidential reasoning, fault prognosis, and safety assessment

    ZHANG Chun-Chao Ph. D. candidate at Rocket Force University of Engineering. He received his bachelor degree from Changchun University of Since and Technology in 2019. His research interest covers belief rule base and fault prognosis

    WANG Jie Ph. D. candidate at Rocket Force University of Engineering. He received his bachelor degree from Hefei University of Technology in 2018. His research interest covers evidential reasoning, fault prognosis, and safety assessment

  • 摘要: 建模方法的可解释性指其以可理解的方式表达实际系统行为的能力. 随着实践中对可靠性需求的不断提高, 建立出可靠且可解释的模型以增强人对实际系统的认知成为了建模的重要目标. 基于规则的建模方法可更直观地描述系统机理, 并能有效融合定量信息和定性知识实现不确定信息的灵活处理, 具有较强的建模性能. 本文从基于规则的建模方法出发, 围绕知识库、推理机和模型优化梳理了其在可解释性方面的研究, 最后进行了简要的评述和展望.
  • 图  1  论文整体框架

    Fig.  1  The overall framework of the paper

    图  2  故障树

    Fig.  2  Fault tree

    图  3  贝叶斯网络片段

    Fig.  3  Bayesian network fragment

    图  4  RBM可解释性的主要内容

    Fig.  4  The main contents of RBM interpretability

    图  5  复杂系统安全性推演演示验证系统

    Fig.  5  Complex system security demonstration and verification system

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  • 收稿日期:  2020-06-10
  • 网络出版日期:  2021-06-10
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