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A neuro-fuzzy approach with hypergraph convolution for fault diagnosis in industrial devices
Papers | 更新时间:2025-10-17
    • A neuro-fuzzy approach with hypergraph convolution for fault diagnosis in industrial devices

    • 超图卷积神经模糊方法在工业设备故障诊断中的应用
    • “In the realm of industrial system fault diagnosis, a groundbreaking neuro-fuzzy framework integrating hypergraph convolution has been introduced. This innovation captures the semantic representation of information cascades through fuzzy rules, enhancing diagnostic outcomes and addressing model interpretability. Expert-established multi-layer perception hybrid embedding mitigates knowledge dispersion, achieving state-of-the-art performance in diagnostic tasks.”
    • Journal of Reliability Science and Engineering   Issue 3, Pages: 1-13(2025)
    • 作者机构:

      School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, People's Republic of China

      The State Key Laboratory of Engines, Tianjin University, Tianjin 300350, People's Republic of China

      School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China

      School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, People's Republic of China

      School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, People's Republic of China

      State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China

      School of Mechatronics and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, People's Republic of China

      Institute of Artificial Intelligence, Guangzhou University, Guangzhou 510006, People's Republic of China

    • DOI:10.1088/3050-2454/ae064d    

      CLC:
    • Received:23 June 2025,

      Revised:2025-08-12,

      Accepted:04 September 2025,

      Published Online:26 September 2025,

      Published:2025

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  • Jichao Zhuang, Jiaxin Wu, Guobin Pei, et al. 超图卷积神经模糊方法在工业设备故障诊断中的应用[J]. 可靠性科学与工程学报(英文), 2025, 1: 035301. DOI: 10.1088/3050-2454/ae064d.

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