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1. |
Record Nr. |
UNINA9910141359303321 |
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Autore |
Fickelscherer Richard J |
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Titolo |
Optimal automated process fault analysis [[electronic resource] /] / Richard J. Fickelscherer ; Daniel L. Chester |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley and Sons, Inc., 2013 |
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ISBN |
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1-118-48195-X |
1-283-91735-1 |
1-118-48193-3 |
1-118-48196-8 |
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Descrizione fisica |
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1 online resource (226 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Chemical process control - Data processing |
Fault location (Engineering) - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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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 |
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Sommario/riassunto |
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Automated fault analysis is not widely used within chemical processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. With this book as their guide, readers have a powerful new tool for ensuring the safety and reliability of any chemical processing system. |
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2. |
Record Nr. |
UNINA9910974486403321 |
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Titolo |
Local commons and global interdependence : heterogeneity and cooperation in two domains / / edited by Robert O. Keohane and Elinor Ostrom |
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Pubbl/distr/stampa |
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London ; ; Thousand Oaks, Calif., : Sage Publications, 1995 |
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London ; ; Thousand Oaks, Calif. : , : Sage Publications, , 1995 |
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ISBN |
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9780803979628 |
0803979622 |
9781446265178 |
144626517X |
9781283881371 |
1283881373 |
9781446231548 |
1446231542 |
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Descrizione fisica |
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1 online resource (viii, 261 pages) : illustrations |
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Altri autori (Persone) |
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KeohaneRobert O <1941-> (Robert Owen) |
OstromElinor |
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Disciplina |
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Soggetti |
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International cooperation |
Environmental protection - International cooperation |
Commons |
Natural resources, Communal |
Communication in international relations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"Published under the auspices of the Center for International Affairs, Harvard University." |
"Previously published as a special issue of the Journal of theoretical politics, vol. 6 (1994), no. 4". |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Contents; Notes on Contributors; Chapter 1 - Introduction; Part I - Theoretical Puzzles; Chapter 2 - The Problem of Scale in Human/Environment Relationships; Chapter 3 - The Politics of Scope: Endogenous Actors, Heterogeneity and Institutions; Chapter 4 - Heterogeneity, Linkage and Commons Problems; Part II - Evidence from |
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the Laboratory; Chapter 5 - Heterogeneities, Information and Conflict Resolution: Experimental Evidence on Sharing Contracts; Part III - Evidence from the Field; Chapter 6 - Constituting Social Capital and Collective Action |
Chapter 7 - The Conditions for Successful Collective Action Chapter 8 - Self-interest and Environmental Management; Chapter 9 - Heterogeneities at Two Levels: States, Non-state Actors and Intentional Oil Pollution; Index |
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Sommario/riassunto |
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This volume offers a synthesis of what is known about very large and very small common-pool resources. At an international level, states cannot appeal to authoritative hierarchies to enforce agreements they make to cooperate with one another. In some small-scale settings, participants may be just as helpless in calling on distant public officials to monitor and enforce their agreements. |
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