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	A novel data-temporal attention network based strategy for fault diagnosis of chiller sensors.
	Li, Ding; Li, Donghui; Li, Chengdong; Li, Lin; Gao, Long
刊名	Energy & Buildings
	2019
卷号	Vol.198页码:377-394
关键词	Air-cooled chiller Attention mechanism Deep learning Encoder-decoder network Fixed biases. Sensor fault diagnosis
ISSN号	0378-7788
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2903885
专题	天津大学
作者单位	1 School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China 2 School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China
推荐引用方式 GB/T 7714	Li, Ding,Li, Donghui,Li, Chengdong,et al. A novel data-temporal attention network based strategy for fault diagnosis of chiller sensors.[J]. Energy & Buildings,2019,Vol.198:377-394.
APA	Li, Ding,Li, Donghui,Li, Chengdong,Li, Lin,&Gao, Long.(2019).A novel data-temporal attention network based strategy for fault diagnosis of chiller sensors..Energy & Buildings,Vol.198,377-394.
MLA	Li, Ding,et al."A novel data-temporal attention network based strategy for fault diagnosis of chiller sensors.".Energy & Buildings Vol.198(2019):377-394.

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