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CASIA OpenIR

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A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 719-727
作者:  Min Wang, Li Sheng, Donghua Zhou, Maoyin Chen
Adobe PDF(1201Kb)  |  收藏  |  浏览/下载：228/50  |  提交时间：2022/03/09
Abnormality monitoring,continuous variables,feature weighted mixed naive Bayes model (FWMNBM),two-valued variables,thermal power plant  
A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1438-1446
作者:  Yinghua Yang;  Xiang Shi;  Xiaozhi Liu;  Hongru Li
浏览  |  Adobe PDF(1848Kb)  |  收藏  |  浏览/下载：142/46  |  提交时间：2021/03/11
MDFA  MKECA  process monitoring  reheating furnace  statistical features  thermodynamics entropy feature  
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 286-296
作者:  Bing-Tao Zhang;  Xiao-Peng Wang;  Yu Shen
浏览  |  Adobe PDF(847Kb)  |  收藏  |  浏览/下载：169/42  |  提交时间：2021/02/22
Feature fusion  mild difficulty in falling asleep (MDFA)  decision support tool  sleep issues  optimal feature set.