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小木虫论坛-学术科研互动平台 » 学术交流区 » 论文投稿 » 其他 » 求帮助查询论文是否已被SCI收录，谢谢！
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eiri

新虫 (知名作家)

【答案】应助回帖

★ ★ ★ ★ ★ ★ ★ ★ ★ ★
nandehutu9327: 金币+10, ★★★★★最佳答案 2017-06-24 01:27:47
引用回帖:
9楼: Originally posted by nandehutu9327 at 2017-06-24 01:23:39
检索号？...

文献信息
文献类型:Article
语种:English
入藏号: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375

最后一次回

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11楼2017-06-24 01:25:11
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nandehutu9327

至尊木虫 (职业作家)
引用回帖:
8楼: Originally posted by eiri at 2017-06-24 01:23:17
你不懂什么是wos？这就是检索了好吗
...

我没看到WOS号
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12楼2017-06-24 01:25:29
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nandehutu9327

至尊木虫 (职业作家)
引用回帖:
11楼: Originally posted by eiri at 2017-06-24 01:25:11
文献信息
文献类型:Article
语种:English
入藏号: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375
最后一次回
...

这才是检索号，你应助不能一次发出来吗？
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13楼2017-06-24 01:27:39
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eiri

新虫 (知名作家)
引用回帖:
13楼: Originally posted by nandehutu9327 at 2017-06-24 01:27:39
这才是检索号，你应助不能一次发出来吗？...

我已经举报了我所有的帖子了 不用操心

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14楼2017-06-24 01:29:10
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nandehutu9327

至尊木虫 (职业作家)
引用回帖:
11楼: Originally posted by eiri at 2017-06-24 01:25:11
文献信息
文献类型:Article
语种:English
入藏号: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375
最后一次回
...

你第一次没给检索号，还整个最后一次回
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15楼2017-06-24 01:29:49
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eiri

新虫 (知名作家)
引用回帖:
15楼: Originally posted by nandehutu9327 at 2017-06-24 01:29:49
你第一次没给检索号，还整个最后一次回...

你只是问有没有检索？我就告诉你检索了。这些东西你直接去图书馆开证明一点问题没有

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16楼2017-06-24 01:32:01
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wuhaocom

铁杆木虫 (著名写手)
恭喜，已被收录，收录号为：000378854600010
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17楼2017-06-25 15:19:55
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liaowb03

至尊木虫 (知名作家)
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 PlusROCESS 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
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18楼2017-06-26 11:16:21
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晋鹏

版主 (知名作家)
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


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 inASM. (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 PlusROCESS 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)
        Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China.
地址:
        [ 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
The authors gratefully acknowledge support from the National High-Tech R&D Program of China (863 Program) (No. 2013AA040702) and the National Natural Science Foundation of China (No. 61433001).
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
期刊信息
目录： Current Contents Connect
Impact Factor (影响因子): Journal Citation Reports
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
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19楼2017-06-26 14:40:15
已阅   回复此楼   关注TA 给TA发消息 送TA红花 TA的回帖

挑战01

新虫 (正式写手)
检索了

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 PlusROCESS 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)
隐藏增强组织信息的名称        Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China.
  增强组织信息的名称
    Tsinghua University
地址:
隐藏增强组织信息的名称        [ 1 ] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China
  增强组织信息的名称
    Tsinghua University
电子邮件地址:jinsongzhao@tsinghua.edu.cn


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
期刊信息
Impact Factor (影响因子): Journal Citation Reports
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
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20楼2017-06-26 22:29:30
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