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机译:基于深度学习的可变制冷剂流量空调系统故障诊断,用于建筑节能
Huazhong Univ Sci & Technol, Dept Refrigerat & Cryogen, Wuhan, Hubei, Peoples R China;
State Key Lab Air Conditioning Equipment & Syst E, Zhuhai, Peoples R China;
Huazhong Univ Sci & Technol, Dept Refrigerat & Cryogen, Wuhan, Hubei, Peoples R China;
Wuhan Univ Sci & Technol, Sch Urban Construct, Wuhan, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Dept Refrigerat & Cryogen, Wuhan, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Dept Refrigerat & Cryogen, Wuhan, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Dept Refrigerat & Cryogen, Wuhan, Hubei, Peoples R China;
Huazhong Univ Sci & Technol, Dept Refrigerat & Cryogen, Wuhan, Hubei, Peoples R China;
Deep learning; Deep belief network; Fault diagnosis; Energy saving; Variable refrigerant flow air-conditioning system;
机译:基于数据驱动的建筑能源系统故障诊断的知识发现:以建筑可变制冷剂流量系统为例
机译:基于数据驱动的基于数据的故障诊断的知识发现:建筑物可变制冷剂流量系统的案例研究
机译:在线优化控制可变制冷剂流量和可变风量的组合空调系统,以实现节能
机译:基于可变制冷剂流量空调系统的决策树的制冷剂充电故障诊断
机译:空调系统中可变制冷剂流量和火用的分析
机译:基于深度学习的行业4.0和对智能建筑有效能源管理的东西互联网
机译:高速列车空调系统的制冷剂替代品:可变环境条件下的节能和环境排放评估