Optimal Automated Process Fault Analysis

Dedication

Table of Contents

Foreword

Preface

Acknowledgements

Chapter 1. Motivations for Automating Process Fault Analysis

1.1  Introduction

1.2  CPI Trends to Date

1.3  The Changing Role for the 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

Chapter 2. Method of Minimal Evidence: Model-Based Reasoning

2.1 Overview

2.2 Introduction

2.3 Method of Minimal Evidence Overview

2.4 Verifying the Validity and Accuracy of the Various Primary Models

2.5 Summary

Chapter 3. Method of Minimal Evidence: Diagnostic Strategy Details

3.1 Overview

3.2 Introduction

3.3 MOME Diagnostic Strategy

3.4 A General Procedure for Developing and Verifying Competent Model-based

3.5 MOME SV & PFA Diagnostic Logic Compiler Motivations

3.6 MOME Diagnostic Strategy Summary

Chapter 4. Method of Minimal Evidence: Fuzzy Logic Algorithm

4.1 Overview

4.2 Introduction

4.3 Fuzzy Logic Overview

4.4 MOME Fuzzy Logic Algorithm

4.5 Certainty Factor Calculation Review

4.6 MOME Fuzzy Logic Algorithm Summary

Chapter 5. Method of Minimal Evidence: Criteria for Shrewdly Distribution Fault Analyzers and Strategic Process Sensor Placement

5.1 Overview

5.2 Criteria for Shrewdly Distributing Process Fault Analyzers

5.3 Criteria for Strategic Process Sensor Placement

Chapter 6. Virtual SPC Analysis and Its Routine Use in Falconeer™ IV

6.1 Overview

6.2 Introduction

6.3 EWMA Calculations and Specific Virtual SPC Analysis Configurations

6.4 Virtual SPC Alarm Trigger Summary

6.5 Virtual SPC Analysis Conclusions

Chapter 7. Process State Transistion Logic and Its Routine Use in Falconeer™ IV

7.1 Temporal Reasoning Philosophy

7.2 Introduction

7.3 State Identification Analysis Currently Used in Falconeer™ IV

7.4 State Identification Analysis Summary

Chapter 8. Conclusions

8.1 Overview

8.2 Summary of the MOME Diagnostic Strategy

8.3 FALCON, FALCONEER and FALCONEER™ IV Actual KBS Application Performance Results

8.4 FALCONEER™ IV KBS Application Project Procedure

8.5 Optimal Automated Process Fault Analysis Conclusions

Appendix A. Various Diagnostic Strategies for Automating Process Fault Analysis

Appendix B. The Falcon Project

Appendix C. Process State Transition Logic Used by the Original Falconeer KBS

Appendix D. Falconeer™ IV Real-Time Suite Process Performance Solutions Demo Description