Data and knowledge fusion-driven Bayesian networks for interpretable fault diagnosis of HVAC systems

被引:1
|
作者
Wu, Daibiao [1 ]
Yang, Haidong [1 ]
Xu, Kangkang [1 ]
Meng, Xianbing [1 ]
Yin, Sihua [1 ]
Zhu, Chengjiu [1 ]
Jin, Xi [1 ]
机构
[1] School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou,510006, China
基金
中国国家自然科学基金;
关键词
D O I
10.1016/j.ijrefrig.2024.02.019
中图分类号
学科分类号
摘要
引用
收藏
页码:101 / 112
相关论文
共 50 条
  • [1] Data and knowledge fusion-driven Bayesian networks for interpretable fault diagnosis of HVAC systems
    Wu, Daibiao
    Yang, Haidong
    Xu, Kangkang
    Meng, Xianbing
    Yin, Sihua
    Zhu, Chengjiu
    Jin, Xi
    INTERNATIONAL JOURNAL OF REFRIGERATION, 2024, 161 : 101 - 112
  • [2] Data and knowledge fusion-driven Bayesian networks for interpretable fault diagnosis of HVAC systems
    Wu, Daibiao
    Yang, Haidong
    Xu, Kangkang
    Meng, Xianbing
    Yin, Sihua
    Zhu, Chengjiu
    Jin, Xi
    INTERNATIONAL JOURNAL OF REFRIGERATION, 2024, 161 : 101 - 112
  • [3] A Data and Knowledge Fusion-Driven Early Fault Warning Method for Traction Control Systems
    Shan, Nanliang
    Xu, Xinghua
    Bao, Xianqiang
    Cheng, Fei
    Liao, Tao
    Qiu, Shaohua
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2024, 2024
  • [4] A knowledge-guided and data-driven method for building HVAC systems fault diagnosis
    Li, Tingting
    Zhao, Yang
    Zhang, Chaobo
    Luo, Jing
    Zhang, Xuejun
    BUILDING AND ENVIRONMENT, 2021, 198
  • [5] Adaptive fusion graph convolutional network based interpretable fault diagnosis method for HVAC systems enhanced by unlabeled data
    Deng, Qiao
    Chen, Zhiwen
    Zhu, Wanting
    Li, Zefan
    Yuan, Yifeng
    Wang, Yalin
    Energy and Buildings, 2024, 324
  • [6] A Data-Driven Approach for Fault Diagnosis in HVAC Chiller Systems
    Beghi, Alessandro
    Brignoli, Riccardo
    Cecchinato, Luca
    Menegazzo, Gabriele
    Rampazzo, Mirco
    2015 IEEE CONFERENCE ON CONTROL AND APPLICATIONS (CCA 2015), 2015, : 966 - 971
  • [7] Data-Driven Fault Detection and Diagnosis: Research and Applications for HVAC Systems in Buildings
    Rosato, Antonio
    Piscitelli, Marco Savino
    Capozzoli, Alfonso
    ENERGIES, 2023, 16 (02)
  • [8] A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems
    Matetic, Iva
    Stajduhar, Ivan
    Wolf, Igor
    Ljubic, Sandi
    SENSORS, 2023, 23 (01)
  • [9] Graph Feature Fusion-Driven Fault Diagnosis of Complex Process Industrial System Based on Multivariate Heterogeneous Data
    Zhang, Fengyuan
    Liu, Jie
    Lu, Xiang
    Li, Tao
    Li, Yi
    Sheng, Yongji
    Wang, Hu
    Liu, Yingwei
    SHOCK AND VIBRATION, 2024, 2024
  • [10] Combining knowledge and historical data for system-level fault diagnosis of HVAC systems
    Verbert, K.
    Babuska, R.
    De Schutter, B.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2017, 59 : 260 - 273