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

被引：3
|
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
来源：
International Journal of Refrigeration | 2024年 / 161卷
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
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