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nandehutu9327至尊木虫 (职业作家)
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求帮助查询论文是否已被SCI收录，谢谢！ 已有1人参与
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求帮助查询论文是否已被SCI收录，谢谢！ Abnormal situation management: Challenges and opportunities in the big data era |
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liaowb03
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Abnormal situation management: Challenges and opportunities in the big data era 作者:Shu, YD (Shu, Yidan)[ 1 ] ; Ming, L (Ming, Liang)[ 1 ] ; Cheng, FF (Cheng, Feifan)[ 1 ] ; Zhang, ZP (Zhang, Zhanpeng)[ 1 ] ; Zhao, JS (Zhao, Jinsong)[ 1 ] COMPUTERS & CHEMICAL ENGINEERING 卷: 91 页: 104-113 DOI: 10.1016/j.compchemeng.2016.04.011 出版年: AUG 4 2016 查看期刊影响 摘要 Although modern chemical processes are highly automatic, abnormal situation management (ASM) still heavily relies on human operators. Process fault detection and diagnosis (FDD) are one of the most important issues of ASM but few FDD systems have been satisfactorily applied in real chemical processes since the concept of FDD was proposed about 40 years ago. In this paper, developments of chemical process FDD are briefly reviewed. The reason why FDD has not been widely implemented in the chemical process industry is discussed. One of the insights gained is that some basic problems in FDD such as how to define faults and how many faults to diagnose have not even been addressed well while researchers tirelessly try to invent new methods to diagnose fault. A new framework is proposed based on the big data in a cloud computing environment of a big chemical corporation for addressing the challenging issues in ASM. (C) 2016 Elsevier Ltd. All rights reserved. 关键词 作者关键词:Abnormal situation management; Process safety; Fault diagnosis; Big data; Artificial immune system; Cloud computing KeyWords Plus  ROCESS FAULT-DIAGNOSIS; INDEPENDENT COMPONENT ANALYSIS; MULTIPHASE BATCH PROCESSES; CHEMICAL-PROCESSES; INDUSTRIAL-PROCESSES; MONITORING APPROACH; QUANTITATIVE MODEL; MUTUAL INFORMATION; NEURAL-NETWORK; HAZOP ANALYSIS作者信息 通讯作者地址: Zhao, JS (通讯作者) [显示增强组织信息的名称] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China. 地址: [显示增强组织信息的名称] [ 1 ] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China 电子邮件地址:jinsongzhao@tsinghua.edu.cn 基金资助致谢 基金资助机构 授权号 National High-Tech R&D Program of China (863 Program) 2013AA040702 National Natural Science Foundation of China 61433001 查看基金资助信息 出版商 PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 类别 / 分类 研究方向:Computer Science; Engineering Web of Science 类别:Computer Science, Interdisciplinary Applications; Engineering, Chemical 文献信息 文献类型:Article 语种:English 入藏号: WOS:000378854600010 ISSN: 0098-1354 eISSN: 1873-4375 其他信息 IDS 号: DP9YS Web of Science 核心合集中的 "引用的参考文献": 85 Web of Science 核心合集中的 "被引频次": 4 |
18楼2017-06-26 11:16:21
eiri
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sesame_oil: 金币+1, 感谢交流 2017-06-24 07:12:09
sesame_oil: 金币+1, 感谢交流 2017-06-24 07:12:09
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1. Abnormal situation management: Challenges and opportunities in the big data era 作者: Shu, Yidan; Ming, Liang; Cheng, Feifan; 等. COMPUTERS & CHEMICAL ENGINEERING 卷: 91 页: 104-113 出版年: AUG 4 2016 发自小木虫IOS客户端 |
2楼2017-06-24 01:14:20
★
感谢参与，应助指数 +1
sesame_oil: 金币+1, 感谢交流 2017-06-24 07:11:20
sesame_oil: 屏蔽内容 2017-06-24 07:11:40
感谢参与，应助指数 +1
sesame_oil: 金币+1, 感谢交流 2017-06-24 07:11:20
sesame_oil: 屏蔽内容 2017-06-24 07:11:40
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本帖内容被屏蔽 |
3楼2017-06-24 01:14:36
nandehutu9327
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4楼2017-06-24 01:16:15