文献
J-GLOBAL ID:201702266161691755
整理番号:17A1464826
データマイニングを用いた加熱モードにおけるVRFシステムのための最適化されたニューラルネットワークに基づく故障診断戦略【Powered by NICT】
Optimized neural network-based fault diagnosis strategy for VRF system in heating mode using data mining
著者 (7件):
Guo Yabin
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Li Guannan
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Chen Huanxin
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Wang Jiangyu
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Guo Mengru
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Sun Shaobo
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Hu Wenju
(Beijing Key Lab of Heating, Gas Supply, Ventilating and Air Conditioning Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
資料名:
Applied Thermal Engineering
(Applied Thermal Engineering)
巻:
125
ページ:
1402-1413
発行年:
2017年
JST資料番号:
E0667B
ISSN:
1359-4311
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)