文献
J-GLOBAL ID:201702274125630370
整理番号:17A0411433
ReliefFフィルタを併用したBayes人工神経回路網を用いたVRFシステムにおける冷媒電荷故障診断【Powered by NICT】
Refrigerant charge fault diagnosis in the VRF system using Bayesian artificial neural network combined with ReliefF filter
著者 (7件):
Shi Shubiao
(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)
,
Liu Jiangyan
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Hu Yunpeng
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Xing Lu
(Department of Refrigeration & Cryogenics, Huazhong University of Science and Technology, Wuhan, China)
,
Hu Wenju
(Beijing Municipality Key Lab of HVAC&R, Beijing University of Civil Engineering and Architecture, Beijing, China)
資料名:
Applied Thermal Engineering
(Applied Thermal Engineering)
巻:
112
ページ:
698-706
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)