文献
J-GLOBAL ID:202002218413362482
整理番号:20A0537126
プロセスシステムにおける故障検出と追跡のための論理ベース確率ネットワークモデル【JST・京大機械翻訳】
Logic-based probabilistic network model to detect and track faults in a process system
著者 (4件):
Tahoon Amr Ibrahim
(Centre of Advanced Process Safety (CAPS), Chemical Engineering Department, Universiti Teknologi Petronas, Perak Darul Ridzuan, Malaysia)
,
Rusli Risza
(Centre of Advanced Process Safety (CAPS), Chemical Engineering Department, Universiti Teknologi Petronas, Perak Darul Ridzuan, Malaysia)
,
Khan Faisal
(Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering and Applied Science, Memorial University, St John’s, Newfoundland and Labrador, Canada)
,
Zainal Abidin Mardhati
(Centre of Advanced Process Safety (CAPS), Chemical Engineering Department, Universiti Teknologi Petronas, Perak Darul Ridzuan, Malaysia)
資料名:
Process Safety Progress
(Process Safety Progress)
巻:
39 Suppl S1
ページ:
e12110
発行年:
2020年
JST資料番号:
E0767B
ISSN:
1066-8527
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)