文献
J-GLOBAL ID:201802278154608899
整理番号:18A0488440
ロバストなGauss混合モデルと移動エントロピーを用いた工業用多モードプロセスにおける品質関連故障の根本原因診断【Powered by NICT】
Root cause diagnosis of quality-related faults in industrial multimode processes using robust Gaussian mixture model and transfer entropy
著者 (3件):
Ma Liang
(Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China)
,
Dong Jie
(Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China)
,
Peng Kaixiang
(Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
285
ページ:
60-73
発行年:
2018年
JST資料番号:
W0360A
ISSN:
0925-2312
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)