Artificial Intelligence in Process Engineering

Artificial Intelligence in Process Engineering

1st Edition - May 28, 1990

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  • Editor: Michael Mavrovouniotis
  • eBook ISBN: 9780323153140

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Description

Artificial Intelligence in Process Engineering aims to present a diverse sample of Artificial Intelligence (AI) applications in process engineering. The book contains contributions, selected by the editors based on educational value and diversity of AI methods and process engineering application domains. Topics discussed in the text include the use of qualitative reasoning for modeling and simulation of chemical systems; the use of qualitative models in discrete event simulation to analyze malfunctions in processing systems; and the diagnosis of faults in processes that are controlled by Programmable Logic Controllers. There are also debates on the issue of quantitative versus qualitative information. The control of batch processes, a design of a system that synthesizes bioseparation processes, and process design in the domain of chemical (rather than biochemical) systems are likewise covered in the text. This publication will be of value to industrial engineers and process engineers and researchers.

Table of Contents


  • Contributors

    Preface

    1. 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

    References

    2· 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

    References

    3. 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

    References

    4. 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

    References

    5. 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

    References

    6. 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

    References

    7. 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

    References

    8. 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

    References

    9. Design of Protein Purification Processes by Heuristic Search

    Abstract

    1. Introduction

    2. Approaches to Design

    3. BioSep Designer

    4. Conclusion

    References

    10. 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 Readings

    Index

Product details

  • No. of pages: 382
  • Language: English
  • Copyright: © Academic Press 1990
  • Published: May 28, 1990
  • Imprint: Academic Press
  • eBook ISBN: 9780323153140

About the Editor

Michael Mavrovouniotis

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