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
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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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