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24th European Symposium on Computer Aided Process Engineering Part A / / edited by Jirí Jaromír Klemes, Petar Sabev Varbanov, Peng Yen Liew
24th European Symposium on Computer Aided Process Engineering Part A / / edited by Jirí Jaromír Klemes, Petar Sabev Varbanov, Peng Yen Liew
Edizione [First edition.]
Pubbl/distr/stampa Amsterdam, Netherlands ; ; Oxford, [England] : , : Elsevier, , 2014
Descrizione fisica 1 online resource (1966 p.)
Disciplina 660.28002854
Collana Computer Aided Chemical Engineering
Soggetto topico Chemical process control - Data processing
Chemical process control - Instruments
Computer integrated manufacturing systems
ISBN 0-444-63443-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto e9780444634436pa.pdf; Front Cover; 24th European Symposium on Computer Aided Process Engineering; Copyright Page; Contents; Preface; International Scientific Committee; Local Organising Committee; Financial Risk Analysis in the Synthesis and Design of Processing Networks: Balancing Risk and Return; Abstract; 1. Introduction; 2. The framework for synthesis and design of processing networks; 3. Cost of capital; 4. Demonstration example: the Network Benchmarking Problem; 5. Conclusions and Future Works; References; De Novo Molecular Design using a Graph-Based Genetic Algorithm Approach; Abstract
1. Background2. Methodology; 3. Case Study; 4. Results and Conclusions; References; Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture; Abstract; 1. Introduction; 2. Experimental study; 3. Model construction; 4. Simulation results; 5. Conclusions; Acknowledgements; References; A Cyclin Distributed Cell Cycle Model in GS-NS0; Abstract; 1. Introduction; 2. Experimental set-up and Mathematical model; 3. Results and Discussion; 4. Conclusions and Future work; Acknowledgements; References
The Good, the Bad, and Your Real Choices - Decision Support for Energy Systems Synthesis through Near-Optimal Solutions AnalysisAbstract; 1. Introduction; 2. Decision support through near-optimal solutions analysis; 3. Industrial synthesis problem; 4. District synthesis problem; 5. Conclusions; Acknowledgements; References; Achieving More Sustainable Designs through a Process Synthesis-Intensification Framework; Abstract; 1. Introduction; 2. Process Synthesis-Intensification Framework; 3. Case Study; 4. Conclusions; References
Superstructure Development and Optimization under Uncertainty for Design and Retrofit of Municipal Wastewater Treatment PlantsAbstract; 1. Introduction; 2. Framework for synthesis and design of WWTP networks under uncertainty; 3. Case Study: Benchmark Wastewater Treatment Plant; 4. Conclusions and Future Works; References; Scale-up and Techno-economical Study for the Production of Polyesters from Glycerol; Abstract; 1. Introduction; 2. Methodology; 3. Results; 4. Conclusions; Acknowledgments; References; Uncertainty Analysis in Raw Material and Utility Cost of Biorefinery Synthesis and Design
Abstract1. Introduction; 2. Framework; 3. Uncertainty analysis of a superstructure-based optimization; 4. Conclusion; References; Rigorous Optimization-based Synthesis of Distillation Cascades without Integer Variables; Abstract; 1. Introduction; 2. A New Distillation Model; 3. Example 1 - A Single Idealized Cascade ; 4. Example 2 - Cryogenic Air Separation Unit Synthesis ; 5. Conclusions; Acknowledgments; References; The Virtual Product-Process Design Laboratory for Structured Chemical Product Design and Analysis; Abstract; 1. Chemical Product Design; 2. The Generic Workflow
3. The Templates
Altri titoli varianti Twenty-fourth European Symposium on Computer Aided Process Engineering
Record Nr. UNINA-9910791020703321
Amsterdam, Netherlands ; ; Oxford, [England] : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
24th European Symposium on Computer Aided Process Engineering Part A / / edited by Jirí Jaromír Klemes, Petar Sabev Varbanov, Peng Yen Liew
24th European Symposium on Computer Aided Process Engineering Part A / / edited by Jirí Jaromír Klemes, Petar Sabev Varbanov, Peng Yen Liew
Edizione [First edition.]
Pubbl/distr/stampa Amsterdam, Netherlands ; ; Oxford, [England] : , : Elsevier, , 2014
Descrizione fisica 1 online resource (1966 p.)
Disciplina 660.28002854
Collana Computer Aided Chemical Engineering
Soggetto topico Chemical process control - Data processing
Chemical process control - Instruments
Computer integrated manufacturing systems
ISBN 0-444-63443-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto e9780444634436pa.pdf; Front Cover; 24th European Symposium on Computer Aided Process Engineering; Copyright Page; Contents; Preface; International Scientific Committee; Local Organising Committee; Financial Risk Analysis in the Synthesis and Design of Processing Networks: Balancing Risk and Return; Abstract; 1. Introduction; 2. The framework for synthesis and design of processing networks; 3. Cost of capital; 4. Demonstration example: the Network Benchmarking Problem; 5. Conclusions and Future Works; References; De Novo Molecular Design using a Graph-Based Genetic Algorithm Approach; Abstract
1. Background2. Methodology; 3. Case Study; 4. Results and Conclusions; References; Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture; Abstract; 1. Introduction; 2. Experimental study; 3. Model construction; 4. Simulation results; 5. Conclusions; Acknowledgements; References; A Cyclin Distributed Cell Cycle Model in GS-NS0; Abstract; 1. Introduction; 2. Experimental set-up and Mathematical model; 3. Results and Discussion; 4. Conclusions and Future work; Acknowledgements; References
The Good, the Bad, and Your Real Choices - Decision Support for Energy Systems Synthesis through Near-Optimal Solutions AnalysisAbstract; 1. Introduction; 2. Decision support through near-optimal solutions analysis; 3. Industrial synthesis problem; 4. District synthesis problem; 5. Conclusions; Acknowledgements; References; Achieving More Sustainable Designs through a Process Synthesis-Intensification Framework; Abstract; 1. Introduction; 2. Process Synthesis-Intensification Framework; 3. Case Study; 4. Conclusions; References
Superstructure Development and Optimization under Uncertainty for Design and Retrofit of Municipal Wastewater Treatment PlantsAbstract; 1. Introduction; 2. Framework for synthesis and design of WWTP networks under uncertainty; 3. Case Study: Benchmark Wastewater Treatment Plant; 4. Conclusions and Future Works; References; Scale-up and Techno-economical Study for the Production of Polyesters from Glycerol; Abstract; 1. Introduction; 2. Methodology; 3. Results; 4. Conclusions; Acknowledgments; References; Uncertainty Analysis in Raw Material and Utility Cost of Biorefinery Synthesis and Design
Abstract1. Introduction; 2. Framework; 3. Uncertainty analysis of a superstructure-based optimization; 4. Conclusion; References; Rigorous Optimization-based Synthesis of Distillation Cascades without Integer Variables; Abstract; 1. Introduction; 2. A New Distillation Model; 3. Example 1 - A Single Idealized Cascade ; 4. Example 2 - Cryogenic Air Separation Unit Synthesis ; 5. Conclusions; Acknowledgments; References; The Virtual Product-Process Design Laboratory for Structured Chemical Product Design and Analysis; Abstract; 1. Chemical Product Design; 2. The Generic Workflow
3. The Templates
Altri titoli varianti Twenty-fourth European Symposium on Computer Aided Process Engineering
Record Nr. UNINA-9910807614703321
Amsterdam, Netherlands ; ; Oxford, [England] : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
27th European Symposium on Computer Aided Process Engineering / / Antonio Espuña, Moisès Graells, Luis Puigjaner
27th European Symposium on Computer Aided Process Engineering / / Antonio Espuña, Moisès Graells, Luis Puigjaner
Autore Espuña Antonio
Pubbl/distr/stampa Amsterdam, Netherlands : , : Elsevier, , 2017
Descrizione fisica 1 online resource (466 pages) : illustrations, tables
Disciplina 660.2815
Collana Computer-Aided Chemical Engineering
Soggetto topico Chemical process control - Data processing
Computer integrated manufacturing systems
ISBN 0-444-63970-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto [volume 1.] Part A -- [volume 2.] Part B -- [volume 3.] Part C.
Record Nr. UNINA-9910297983403321
Espuña Antonio  
Amsterdam, Netherlands : , : Elsevier, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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28th European Symposium on Computer Aided Process Engineering . Part A / / edited by Anton Friedl [and four others]
28th European Symposium on Computer Aided Process Engineering . Part A / / edited by Anton Friedl [and four others]
Pubbl/distr/stampa Amsterdam : , : Elsevier, , [2018]
Descrizione fisica 1 online resource (1,766 pages) : illustrations
Disciplina 660.2815
Collana Computer-aided chemical engineering
Soggetto topico Chemical process control - Data processing
Computer integrated manufacturing systems
ISBN 0-444-64236-6
0-444-64235-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910736998303321
Amsterdam : , : Elsevier, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Dynamic process modeling / / edited by Michael C. Georgiadis, Julio R. Banga, and Efstratios N. Pistikopoulos
Dynamic process modeling / / edited by Michael C. Georgiadis, Julio R. Banga, and Efstratios N. Pistikopoulos
Pubbl/distr/stampa Weinheim, Germany : , : Wiley-VCH, , 2011
Descrizione fisica 1 online resource (628 pages) : illustrations (some color)
Disciplina 628
Collana Process Systems Engineering
Soggetto topico Chemical process control - Data processing
Chemical process control - Computer simulation
Soggetto genere / forma Electronic books.
ISBN 3-527-63133-X
3-527-63134-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto part I. Chemical and other processing systems -- part II. Biological, bio-processing and biomedical systems.
Record Nr. UNINA-9910267952803321
Weinheim, Germany : , : Wiley-VCH, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Guidelines for safe and reliable instrumented protective systems / / American Institute of Chemical Engineers. Center for Chemical Process Safety
Guidelines for safe and reliable instrumented protective systems / / American Institute of Chemical Engineers. Center for Chemical Process Safety
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley-Interscience, , 2007
Descrizione fisica 1 online resource (431 p.)
Disciplina 660.2804
660/.2815
Soggetto topico Chemical process control
Chemical process control - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-118-20969-9
1-282-77380-1
9786612773808
0-470-92491-8
0-470-92492-6
1-60119-894-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Guidelines for Safe and Reliable Instrumented Protective Systems; Acknowledgements; Preface; Table of Contents; List of Figures; List of Tables; Introduction; Planning; Risk Assessment; Design; Engineering, Installation, Commissioning and Validation; Operational and Mechanical Integrity; Continuous Improvement; Definitions; Protection Layers; Core Attributes; Understanding Failure; Process Equipment Reliability Database; User Approved Equipment and Practices; References; Acronyms and Abbreviations; Index
Record Nr. UNINA-9910145314503321
Hoboken, New Jersey : , : Wiley-Interscience, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Guidelines for safe and reliable instrumented protective systems / / American Institute of Chemical Engineers. Center for Chemical Process Safety
Guidelines for safe and reliable instrumented protective systems / / American Institute of Chemical Engineers. Center for Chemical Process Safety
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley-Interscience, , 2007
Descrizione fisica 1 online resource (431 p.)
Disciplina 660.2804
660/.2815
Soggetto topico Chemical process control
Chemical process control - Data processing
ISBN 1-118-20969-9
1-282-77380-1
9786612773808
0-470-92491-8
0-470-92492-6
1-60119-894-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Guidelines for Safe and Reliable Instrumented Protective Systems; Acknowledgements; Preface; Table of Contents; List of Figures; List of Tables; Introduction; Planning; Risk Assessment; Design; Engineering, Installation, Commissioning and Validation; Operational and Mechanical Integrity; Continuous Improvement; Definitions; Protection Layers; Core Attributes; Understanding Failure; Process Equipment Reliability Database; User Approved Equipment and Practices; References; Acronyms and Abbreviations; Index
Record Nr. UNINA-9910830193403321
Hoboken, New Jersey : , : Wiley-Interscience, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester
Autore Fickelscherer Richard J
Pubbl/distr/stampa Hoboken, N.J., : John Wiley and Sons, Inc., 2013
Descrizione fisica 1 online resource (226 p.)
Disciplina 660.2815
660/.2815
670
Altri autori (Persone) ChesterDaniel L
Soggetto topico Chemical process control - Data processing
Fault location (Engineering) - Data processing
ISBN 1-118-48195-X
1-283-91735-1
1-118-48193-3
1-118-48196-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimal Automated Process Fault Analysis; Contents; Foreword; Preface; Acknowledgments; 1 Motivations for Automating Process Fault Analysis; 1.1 Introduction; 1.2 CPI Trends to Date; 1.3 The Changing Role of Process Operators in Plant Operations; 1.4 Methods Currently Used to Perform Process Fault Management; 1.5 Limitations of Human Operators in Performing Process Fault Management; 1.6 The Role of Automated Process Fault Analysis; 1.7 Anticipated Future CPI Trends; 1.8 Process Fault Analysis Concept Terminology; References; 2 Method of Minimal Evidence: Model-Based Reasoning; 2.1 Overview
2.2 Introduction2.3 Method of Minimal Evidence Overview; 2.3.1 Process Model and Modeling Assumption Variable Classifications; 2.3.2 Example of a MOME Primary Model; 2.3.3 Example of MOME Secondary Models; 2.3.4 Primary Model Residuals' Normal Distributions; 2.3.5 Minimum Assumption Variable Deviations; 2.3.6 Primary Model Derivation Issues; 2.3.7 Method for Improving the Diagnostic Sensitivity of the Resulting Fault Analyzer; 2.3.8 Intermediate Assumption Deviations, Process Noise, and Process Transients; 2.4 Verifying the Validity and Accuracy of the Various Primary Models; 2.5 Summary
References3 Method of Minimal Evidence: Diagnostic Strategy Details; 3.1 Overview; 3.2 Introduction; 3.3 MOME Diagnostic Strategy; 3.3.1 Example of MOME SV&PFA Diagnostic Rules' Logic; 3.3.2 Example of Key Performance Indicator Validation; 3.3.3 Example of MOME SV&PFA Diagnostic Rules with Measurement Redundancy; 3.3.4 Example of MOME SV&PFA Diagnostic Rules for Interactive Multiple-Faults; 3.4 General Procedure for Developing and Verifying Competent Model-Based Process Fault Analyzers; 3.5 MOME SV&PFA Diagnostic Rules' Logic Compiler Motivations; 3.6 MOME Diagnostic Strategy Summary
References4 Method of Minimal Evidence: Fuzzy Logic Algorithm; 4.1 Overview; 4.2 Introduction; 4.3 Fuzzy Logic Overview; 4.4 MOME Fuzzy Logic Algorithm; 4.4.1 Single-Fault Fuzzy Logic Diagnostic Rule; 4.4.2 Multiple-Fault Fuzzy Logic Diagnostic Rule; 4.5 Certainty Factor Calculation Review; 4.6 MOME Fuzzy Logic Algorithm Summary; References; 5 Method of Minimal Evidence: Criteria for Shrewdly Distributing Fault Analyzers and Strategic Process Sensor Placement; 5.1 Overview; 5.2 Criteria for Shrewdly Distributing Process Fault Analyzers; 5.2.1 Introduction
5.2.2 Practical Limitations on Target Process System Size5.2.3 Distributed Fault Analyzers; 5.3 Criteria for Strategic Process Sensor Placement; References; 6 Virtual SPC Analysis and Its Routine Use in FALCONEERTM IV; 6.1 Overview; 6.2 Introduction; 6.3 EWMA Calculations and Specific Virtual SPC Analysis Configurations; 6.3.1 Controlled Variables; 6.3.2 Uncontrolled Variables and Performance Equation Variables; 6.4 Virtual SPC Alarm Trigger Summary; 6.5 Virtual SPC Analysis Conclusions; References; 7 Process State Transition Logic and Its Routine Use in FALCONEERTM IV
7.1 Temporal Reasoning Philosophy
Record Nr. UNINA-9910141359303321
Fickelscherer Richard J  
Hoboken, N.J., : John Wiley and Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester
Autore Fickelscherer Richard J
Pubbl/distr/stampa Hoboken, N.J., : John Wiley and Sons, Inc., 2013
Descrizione fisica 1 online resource (226 p.)
Disciplina 660.2815
660/.2815
670
Altri autori (Persone) ChesterDaniel L
Soggetto topico Chemical process control - Data processing
Fault location (Engineering) - Data processing
ISBN 1-118-48195-X
1-283-91735-1
1-118-48193-3
1-118-48196-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimal Automated Process Fault Analysis; Contents; Foreword; Preface; Acknowledgments; 1 Motivations for Automating Process Fault Analysis; 1.1 Introduction; 1.2 CPI Trends to Date; 1.3 The Changing Role of Process Operators in Plant Operations; 1.4 Methods Currently Used to Perform Process Fault Management; 1.5 Limitations of Human Operators in Performing Process Fault Management; 1.6 The Role of Automated Process Fault Analysis; 1.7 Anticipated Future CPI Trends; 1.8 Process Fault Analysis Concept Terminology; References; 2 Method of Minimal Evidence: Model-Based Reasoning; 2.1 Overview
2.2 Introduction2.3 Method of Minimal Evidence Overview; 2.3.1 Process Model and Modeling Assumption Variable Classifications; 2.3.2 Example of a MOME Primary Model; 2.3.3 Example of MOME Secondary Models; 2.3.4 Primary Model Residuals' Normal Distributions; 2.3.5 Minimum Assumption Variable Deviations; 2.3.6 Primary Model Derivation Issues; 2.3.7 Method for Improving the Diagnostic Sensitivity of the Resulting Fault Analyzer; 2.3.8 Intermediate Assumption Deviations, Process Noise, and Process Transients; 2.4 Verifying the Validity and Accuracy of the Various Primary Models; 2.5 Summary
References3 Method of Minimal Evidence: Diagnostic Strategy Details; 3.1 Overview; 3.2 Introduction; 3.3 MOME Diagnostic Strategy; 3.3.1 Example of MOME SV&PFA Diagnostic Rules' Logic; 3.3.2 Example of Key Performance Indicator Validation; 3.3.3 Example of MOME SV&PFA Diagnostic Rules with Measurement Redundancy; 3.3.4 Example of MOME SV&PFA Diagnostic Rules for Interactive Multiple-Faults; 3.4 General Procedure for Developing and Verifying Competent Model-Based Process Fault Analyzers; 3.5 MOME SV&PFA Diagnostic Rules' Logic Compiler Motivations; 3.6 MOME Diagnostic Strategy Summary
References4 Method of Minimal Evidence: Fuzzy Logic Algorithm; 4.1 Overview; 4.2 Introduction; 4.3 Fuzzy Logic Overview; 4.4 MOME Fuzzy Logic Algorithm; 4.4.1 Single-Fault Fuzzy Logic Diagnostic Rule; 4.4.2 Multiple-Fault Fuzzy Logic Diagnostic Rule; 4.5 Certainty Factor Calculation Review; 4.6 MOME Fuzzy Logic Algorithm Summary; References; 5 Method of Minimal Evidence: Criteria for Shrewdly Distributing Fault Analyzers and Strategic Process Sensor Placement; 5.1 Overview; 5.2 Criteria for Shrewdly Distributing Process Fault Analyzers; 5.2.1 Introduction
5.2.2 Practical Limitations on Target Process System Size5.2.3 Distributed Fault Analyzers; 5.3 Criteria for Strategic Process Sensor Placement; References; 6 Virtual SPC Analysis and Its Routine Use in FALCONEERTM IV; 6.1 Overview; 6.2 Introduction; 6.3 EWMA Calculations and Specific Virtual SPC Analysis Configurations; 6.3.1 Controlled Variables; 6.3.2 Uncontrolled Variables and Performance Equation Variables; 6.4 Virtual SPC Alarm Trigger Summary; 6.5 Virtual SPC Analysis Conclusions; References; 7 Process State Transition Logic and Its Routine Use in FALCONEERTM IV
7.1 Temporal Reasoning Philosophy
Record Nr. UNINA-9910830586303321
Fickelscherer Richard J  
Hoboken, N.J., : John Wiley and Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester
Autore Fickelscherer Richard J
Pubbl/distr/stampa Hoboken, N.J., : John Wiley and Sons, Inc., 2013
Descrizione fisica 1 online resource (226 p.)
Disciplina 660.2815
660/.2815
670
Altri autori (Persone) ChesterDaniel L
Soggetto topico Chemical process control - Data processing
Fault location (Engineering) - Data processing
ISBN 1-118-48195-X
1-283-91735-1
1-118-48193-3
1-118-48196-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimal Automated Process Fault Analysis; Contents; Foreword; Preface; Acknowledgments; 1 Motivations for Automating Process Fault Analysis; 1.1 Introduction; 1.2 CPI Trends to Date; 1.3 The Changing Role of Process Operators in Plant Operations; 1.4 Methods Currently Used to Perform Process Fault Management; 1.5 Limitations of Human Operators in Performing Process Fault Management; 1.6 The Role of Automated Process Fault Analysis; 1.7 Anticipated Future CPI Trends; 1.8 Process Fault Analysis Concept Terminology; References; 2 Method of Minimal Evidence: Model-Based Reasoning; 2.1 Overview
2.2 Introduction2.3 Method of Minimal Evidence Overview; 2.3.1 Process Model and Modeling Assumption Variable Classifications; 2.3.2 Example of a MOME Primary Model; 2.3.3 Example of MOME Secondary Models; 2.3.4 Primary Model Residuals' Normal Distributions; 2.3.5 Minimum Assumption Variable Deviations; 2.3.6 Primary Model Derivation Issues; 2.3.7 Method for Improving the Diagnostic Sensitivity of the Resulting Fault Analyzer; 2.3.8 Intermediate Assumption Deviations, Process Noise, and Process Transients; 2.4 Verifying the Validity and Accuracy of the Various Primary Models; 2.5 Summary
References3 Method of Minimal Evidence: Diagnostic Strategy Details; 3.1 Overview; 3.2 Introduction; 3.3 MOME Diagnostic Strategy; 3.3.1 Example of MOME SV&PFA Diagnostic Rules' Logic; 3.3.2 Example of Key Performance Indicator Validation; 3.3.3 Example of MOME SV&PFA Diagnostic Rules with Measurement Redundancy; 3.3.4 Example of MOME SV&PFA Diagnostic Rules for Interactive Multiple-Faults; 3.4 General Procedure for Developing and Verifying Competent Model-Based Process Fault Analyzers; 3.5 MOME SV&PFA Diagnostic Rules' Logic Compiler Motivations; 3.6 MOME Diagnostic Strategy Summary
References4 Method of Minimal Evidence: Fuzzy Logic Algorithm; 4.1 Overview; 4.2 Introduction; 4.3 Fuzzy Logic Overview; 4.4 MOME Fuzzy Logic Algorithm; 4.4.1 Single-Fault Fuzzy Logic Diagnostic Rule; 4.4.2 Multiple-Fault Fuzzy Logic Diagnostic Rule; 4.5 Certainty Factor Calculation Review; 4.6 MOME Fuzzy Logic Algorithm Summary; References; 5 Method of Minimal Evidence: Criteria for Shrewdly Distributing Fault Analyzers and Strategic Process Sensor Placement; 5.1 Overview; 5.2 Criteria for Shrewdly Distributing Process Fault Analyzers; 5.2.1 Introduction
5.2.2 Practical Limitations on Target Process System Size5.2.3 Distributed Fault Analyzers; 5.3 Criteria for Strategic Process Sensor Placement; References; 6 Virtual SPC Analysis and Its Routine Use in FALCONEERTM IV; 6.1 Overview; 6.2 Introduction; 6.3 EWMA Calculations and Specific Virtual SPC Analysis Configurations; 6.3.1 Controlled Variables; 6.3.2 Uncontrolled Variables and Performance Equation Variables; 6.4 Virtual SPC Alarm Trigger Summary; 6.5 Virtual SPC Analysis Conclusions; References; 7 Process State Transition Logic and Its Routine Use in FALCONEERTM IV
7.1 Temporal Reasoning Philosophy
Record Nr. UNINA-9910841077703321
Fickelscherer Richard J  
Hoboken, N.J., : John Wiley and Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui