Data mining and knowledge discovery for process monitoring and control:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London [u.a.]
Springer
1999
|
| Series: | Advances in industrial control
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverzeichnis Seite [233] - 248 |
| Physical Description: | XVIII, 251 S. graph. Darst. |
| ISBN: | 1852331372 |
Staff View
MARC
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| 245 | 1 | 0 | |a Data mining and knowledge discovery for process monitoring and control |c Xue Z. Wang |
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| 650 | 7 | |a Kennisverwerving |2 gtt | |
| 650 | 7 | |a Procesbeheersing |2 gtt | |
| 650 | 4 | |a Datenverarbeitung | |
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| 650 | 4 | |a Knowledge acquisition (Expert systems) | |
| 650 | 4 | |a Process control |x Data processing | |
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Record in the Search Index
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|---|---|
| adam_text | CONTENTS
1 Introduction 1
1.1 Current Approaches to Process Monitoring, Diagnosis
and Control 2
1.2 Monitoring Charts for Statistical Quality Control 4
1.3 The Operating Window 5
1.4 State Space Based Process Monitoring and Control... 6
1.5 Characteristics of Process Operational Data 8
1.6 System Requirement and Architecture 9
1.7 Outline of the Book 11
2 Data Mining and Knowledge Discovery an
Overview 13
2.1 Definition and Development 13
2.2 The KDD Process 15
2.3 Data Mining Techniques 17
2.4 Feature Selection with Data Mining 25
2.5 Final Remarks and Additional Resources 27
XVI
3 Data Pre processing for Feature Extraction,
Dimension Reduction and Concept
Formation 29
3.1 Data Pre processing 29
3.2 Use of Principal Component Analysis 30
3.3 Wavelet Analysis 38
3.4 Episode Approach 57
3.5 Summary 59
4 Multivariate Statistical Analysis for Data
Analysis and Statistical Control 61
4.1 PCA for State Identification and Monitoring 61
4.2 Partial Least Squares (PLS) 68
4.3 Variable Contribution Plots 68
4.4 Multiblock PCA and PLS 72
4.5 Batch Process Monitoring Using Multiway PCA 72
4.6 Nonlinear PCA 74
4.7 Operational Strategy Development and Product Design
an Industrial Case Study 76
4.8 General Observations 82
5 Supervised Learning for Operational
Support 85
5.1 Feedforward Neural Networks 85
5.2 Variable Selection and Feature Extraction for
FFNN Inputs 91
5.3 Model Validation and Confidence Bounds 92
5.4 Application of FFNN to Process Fault Diagnosis 94
5.5 Fuzzy Neural Networks 99
XVII
5.6 Fuzzy Set Covering Method 101
5.7 Fuzzy Signed Digraphs 102
5.8 Case Studies 108
5.9 General Observations 116
6 Unsupervised Learning for Operational State
Identification 119
6.1 Supervised vs. Unsupervised Learning 119
6.2 Adaptive Resonance Theory 120
6.3 A Framework for Integrating Wavelet Feature Extraction
and ART2 124
6.4 Application of ARTnet to the FCC Process 126
6.5 Bayesian Automatic Classification 136
6.6 Application of AutoClass to the FCC Process 142
6.7 General Comments 147
7 Inductive Learning for Conceptual Clustering
and Real time Process Monitoring 149
7.1 Inductive Learning 150
7.2 IL for Knowledge Discovery from Averaged Data .... 153
7.3 IL for Conceptual Clustering and Real time
Monitoring 156
7.4 Application to the Refinery MTBE Process 164
7.5 General Review 172
8 Automatic Extraction of Knowledge Rules
from Process Operational Data 173
8.1 Rules Generation Using Fuzzy Set Operation 173
8.2 Rules Generation from Neural Networks 176
XVIII
8.3 Rules Generation Using Rough Set Method 178
8.4 A Fuzzy Neural Network Method for Rules
Extraction 180
8.5 Discussion 190
9 Inferential Models and Software Sensors .... 193
9.1 Feedforward Neural Networks as Software Sensors ..193
9.2 A Method for Selection of Training / Test Data and
Model Retraining 194
9.3 An Industrial Case Study 196
9.4 Dimension Reduction of Input Variables 204
9.5 Dynamic Neural Networks as Inferential Models 210
9.6 Summary 212
10 Concluding Remarks 215
Appendix A The Continuous Stirred Tank
Reactor (CSTR) 217
Appendix B The Residue Fluid Catalytic
Cracking (R FCC) Process 221
Appendix C The Methyl Tertiary Butyl Ether
(MTBE) Process 227
References 233
Index 249
|
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| author | Wang, Xue Z. 1963- McGreavy, Colin 1935- |
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| callnumber-subject | TS - Manufactures |
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| ctrlnum | (OCoLC)41090806 (DE-599)BVBBV012690437 |
| dewey-full | 670.42/7563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.42/7563 |
| dewey-search | 670.42/7563 |
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| discipline | Informatik Werkstoffwissenschaften / Fertigungstechnik |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T18:32:00Z |
| institution | BVB |
| isbn | 1852331372 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008626464 |
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| physical | XVIII, 251 S. graph. Darst. |
| publishDate | 1999 |
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| publisher | Springer |
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| series2 | Advances in industrial control |
| spelling | Wang, Xue Z. 1963- Verfasser (DE-588)120926083 aut Data mining and knowledge discovery for process monitoring and control Xue Z. Wang London [u.a.] Springer 1999 XVIII, 251 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in industrial control Literaturverzeichnis Seite [233] - 248 Controleleer gtt Data mining gtt Dataprocessing gtt Digitale technieken gtt Kennisverwerving gtt Procesbeheersing gtt Datenverarbeitung Data mining Knowledge acquisition (Expert systems) Process control Data processing Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensbasiertes System (DE-588)4197554-6 gnd rswk-swf Prozessdatenverarbeitung (DE-588)4123996-9 gnd rswk-swf Data Mining (DE-588)4428654-5 s Wissensbasiertes System (DE-588)4197554-6 s Prozessdatenverarbeitung (DE-588)4123996-9 s DE-604 McGreavy, Colin 1935- Verfasser (DE-588)120926113 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008626464&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wang, Xue Z. 1963- McGreavy, Colin 1935- Data mining and knowledge discovery for process monitoring and control Controleleer gtt Data mining gtt Dataprocessing gtt Digitale technieken gtt Kennisverwerving gtt Procesbeheersing gtt Datenverarbeitung Data mining Knowledge acquisition (Expert systems) Process control Data processing Data Mining (DE-588)4428654-5 gnd Wissensbasiertes System (DE-588)4197554-6 gnd Prozessdatenverarbeitung (DE-588)4123996-9 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4197554-6 (DE-588)4123996-9 |
| title | Data mining and knowledge discovery for process monitoring and control |
| title_auth | Data mining and knowledge discovery for process monitoring and control |
| title_exact_search | Data mining and knowledge discovery for process monitoring and control |
| title_full | Data mining and knowledge discovery for process monitoring and control Xue Z. Wang |
| title_fullStr | Data mining and knowledge discovery for process monitoring and control Xue Z. Wang |
| title_full_unstemmed | Data mining and knowledge discovery for process monitoring and control Xue Z. Wang |
| title_short | Data mining and knowledge discovery for process monitoring and control |
| title_sort | data mining and knowledge discovery for process monitoring and control |
| topic | Controleleer gtt Data mining gtt Dataprocessing gtt Digitale technieken gtt Kennisverwerving gtt Procesbeheersing gtt Datenverarbeitung Data mining Knowledge acquisition (Expert systems) Process control Data processing Data Mining (DE-588)4428654-5 gnd Wissensbasiertes System (DE-588)4197554-6 gnd Prozessdatenverarbeitung (DE-588)4123996-9 gnd |
| topic_facet | Controleleer Data mining Dataprocessing Digitale technieken Kennisverwerving Procesbeheersing Datenverarbeitung Knowledge acquisition (Expert systems) Process control Data processing Data Mining Wissensbasiertes System Prozessdatenverarbeitung |
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