Artificial Intelligence in Process Engineering

ContributorsPreface1. Qualitative Modeling of Chemical Reaction Systems Abstract 1. Introduction 2. The QSIM Algorithm for Qualitative Simulation 3. Building Qualitative Models of Reaction Systems 4. Partial Quantitative Knowledge in Qualitative Models 5. Discussion Acknowledgment Appendix: Curvature Constraint Derivations References2· Use of Qualitative Models in Discrete Event Simulation to Analyze Malfunctions in Processing Systems Abstract 1. Introduction 2. The Problem 3. Modeling and Simulation Background 4. CONFIG Implementation and Examples 5. Conclusions and Future Work Acknowledgment References3. An Expert System for Diagnosis of a Sequential, PLC-Controlled Operation 1. Introduction 2. Programmable Logic Controllers 3. The Dead Operating State Diagnostic Scenario 4. Diagnosis 5. Diagnostic Methods 6. Expert System Development 7. General Aspects of the Expert System: "WRAPITUP" 8. Discussion and Summary Acknowledgments References4. Fault Detection and Diagnosis Using Artificial Neural Networks Abstract 1. Introduction 2. Characteristics of Artificial Neural Networks 3. ZNL Architecture 4. Fault Detection and Diagnosis Examples 5. Conclusion References5. A Modular Approach to Multiple Faults Diagnosis Abstract 1. Introduction 2. Shallow Versus Deep Knowledge 3. The Model-Based Approach 4. Multiple Faults Diagnosis 5. Other Approaches 6. Divide and Conquer (MFD2) 7. Conclusions References6. Modeling Real-World Processes: Deep and Shallow Knowledge Integrated with Approximate Reasoning in a Diagnostic Expert System 1. Introduction 2. Overview 3. The Scenario 4. A Real-World Domain: The Power Plant 5. The Plant Model 6. The Diagnostic Expert System 7. Conclusions and Future Work Acknowledgments References7. XIMKON-An Expert Simulation and Control Program Abstract 1. Introduction 2. Control System Design Process 3. XIMKON 4. Expert Process Modeling 5. Expert Controller Design 6. Conclusion Acknowledgments References8. Exothermic Batch Chemical Reactor Automation Via Expert System Abstract 1. Introduction 2. Review 3. The Generalized Batch Reactor Control Problem 4. An Expert System Approach 5. Associated Conventional Control Strategies 6. Testing by Simulation and Follow-Up of Control Logic 7. Future Goals and Directions Acknowledgments Nomenclature References9. Design of Protein Purification Processes by Heuristic Search Abstract 1. Introduction 2. Approaches to Design 3. BioSep Designer 4. Conclusion References10. An Adaptive Heuristic-Based System for Synthesis of Complex Separation Sequences Abstract 1. Introduction 2. Problem Specifications 3. Knowledge Representation Strategy 4. Reasoning Strategy 5. Adaptation Mechanism 6. Example 7. Discussion and Conclusion Acknowledgment Appendix A: Quantitative Expression for the Term "Vary Widely" Appendix B: Fuzzy Membership Function Representing the Antecedent of Rule 2.9 Appendix C: Pattern Recognition for Stream Division or Separation References Other Suggested ReadingsIndex