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nandehutu9327: 金幣+10, ★★★★★最佳答案 2017-06-24 01:27:47

引用回帖:

9樓: Originally posted by nandehutu9327 at 2017-06-24 01:23:39
檢索號？...

文獻(xiàn)信息
文獻(xiàn)類型:Article
語種:English
入藏號: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375

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11樓2017-06-24 01:25:11

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引用回帖:

8樓: Originally posted by eiri at 2017-06-24 01:23:17
你不懂什么是wos？這就是檢索了好嗎
...

我沒看到WOS號

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12樓2017-06-24 01:25:29

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nandehutu9327

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引用回帖:

11樓: Originally posted by eiri at 2017-06-24 01:25:11
文獻(xiàn)信息
文獻(xiàn)類型:Article
語種:English
入藏號: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375
最后一次回
...

這才是檢索號，你應(yīng)助不能一次發(fā)出來嗎？

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13樓2017-06-24 01:27:39

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eiri

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引用回帖:

13樓: Originally posted by nandehutu9327 at 2017-06-24 01:27:39
這才是檢索號，你應(yīng)助不能一次發(fā)出來嗎？...

我已經(jīng)舉報了我所有的帖子了不用操心

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14樓2017-06-24 01:29:10

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nandehutu9327

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引用回帖:

你第一次沒給檢索號，還整個最后一次回

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15樓2017-06-24 01:29:49

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eiri

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引用回帖:

15樓: Originally posted by nandehutu9327 at 2017-06-24 01:29:49
你第一次沒給檢索號，還整個最后一次回...

你只是問有沒有檢索？我就告訴你檢索了。這些東西你直接去圖書館開證明一點問題沒有

發(fā)自小木蟲IOS客戶端

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16樓2017-06-24 01:32:01

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恭喜，已被收錄，收錄號為：000378854600010

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17樓2017-06-25 15:19:55

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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

頁: 104-113

DOI: 10.1016/j.compchemeng.2016.04.011

出版年: AUG 4 2016

查看期刊影響
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.
關(guān)鍵詞

作者關(guān)鍵詞: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

通訊作者地址: Zhao, JS (通訊作者)
[顯示增強組織信息的名稱] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China.

地址:
[顯示增強組織信息的名稱] [ 1 ] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China

電子郵件地址:jinsongzhao@tsinghua.edu.cn
基金資助致謝
基金資助機構(gòu) 授權(quán)號
National High-Tech R&D Program of China (863 Program)
2013AA040702
National Natural Science Foundation of China
61433001
查看基金資助信息
出版商

PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
類別 / 分類

研究方向:Computer Science; Engineering

Web of Science 類別:Computer Science, Interdisciplinary Applications; Engineering, Chemical
文獻(xiàn)信息

文獻(xiàn)類型:Article

語種:English

入藏號: WOS:000378854600010

ISSN: 0098-1354

eISSN: 1873-4375
其他信息

IDS 號: DP9YS

Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 85

Web of Science 核心合集中的 "被引頻次": 4

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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
頁: 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.
關(guān)鍵詞
作者關(guān)鍵詞: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
通訊作者地址: Zhao, JS (通訊作者)
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
電子郵件地址:jinsongzhao@tsinghua.edu.cn
基金資助致謝
基金資助機構(gòu) 授權(quán)號
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
類別 / 分類
研究方向:Computer Science; Engineering
Web of Science 類別:Computer Science, Interdisciplinary Applications; Engineering, Chemical
文獻(xiàn)信息
文獻(xiàn)類型:Article
語種:English
入藏號: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375
期刊信息
目錄： Current Contents Connect
Impact Factor (影響因子): Journal Citation Reports
其他信息
IDS 號: DP9YS
Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 85
Web of Science 核心合集中的 "被引頻次": 4

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及時行樂，人生不留遺憾！

19樓2017-06-26 14:40:15

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檢索了

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 頁: 104-113
DOI: 10.1016/j.compchemeng.2016.04.011
出版年: AUG 4 2016
查看期刊影響
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.
關(guān)鍵詞
作者關(guān)鍵詞: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
通訊作者地址: Zhao, JS (通訊作者)
隱藏增強組織信息的名稱 Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China.
增強組織信息的名稱
Tsinghua University
地址:
隱藏增強組織信息的名稱 [ 1 ] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing, Peoples R China
增強組織信息的名稱
Tsinghua University
電子郵件地址:jinsongzhao@tsinghua.edu.cn

出版商
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
類別 / 分類
研究方向:Computer Science; Engineering
Web of Science 類別:Computer Science, Interdisciplinary Applications; Engineering, Chemical
文獻(xiàn)信息
文獻(xiàn)類型:Article
語種:English
入藏號: WOS:000378854600010
ISSN: 0098-1354
eISSN: 1873-4375
期刊信息
Impact Factor (影響因子): Journal Citation Reports
其他信息
IDS 號: DP9YS
Web of Science 核心合集中的 "引用的參考文獻(xiàn)": 85
Web of Science 核心合集中的 "被引頻次": 4

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20樓2017-06-26 22:29:30

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