FAULT DETECTION METHODS, APPLICATIONS AND TECHNOLOGY

FAULT DETECTION METHODS, APPLICATIONS AND TECHNOLOGY

CONTENTS

PREFACE

Chapter1ACTIVEFAULTDETECTIONINNONLINEARDIFFERENTIALALGEBRAICEQUATIONSI:GENERALSYSTEMS

Abstract

1.Introduction

2.ReviewofLinearDAEApproach

3.GeneralNonlinearApproach

4.HessenbergSystems

5.CaseStudy

5.1.SolvingtheNonlinearProblem

Conclusion

Acknowledgment

References

Chapter2ACTIVEFAULTDETECTIONINNONLINEARDIFFERENTIALALGEBRAICEQUATIONSII:USINGLINEARIZATIONS

Abstract

1.Introduction

2.ReviewofLinearDAEApproach

3.CaseStudy

3.1.Linearization

4.EvaluationoftheTestSignal

5.ModelIdentificationwithNonlinearModels

Conclusion

Acknowledgment

References

Chapter 3 SEISMIC ATTRIBUTE-AIDED FAULT DETECTION IN PETROLEUM INDUSTRY: A REVIEW

Abstract

Introduction

Attribute Extraction

Data Preconditioning

Median Filter

Edge-Preserving Smoothing

Discontinuity Analysis

Coherence

Sobel Filtering

Semblance

Similarity

Canny Edge Detection

Fault Enhancement

Ant Tracking

Lineament Thinning

Fault Mapping

Manual Fault Picking

Semi-Automatic Fault Extraction

Automatic Fault Extraction

Fault Map Quality Control

Future Work

Conclusion

Acknowledgments

References

Biographical Sketches

Haibin Di

Research and Professional Experience

Publications Last Three Years

Journal Publications (9)

Conference Presentations (8)

Dengliang Gao

Research and Professional Experience

Publications Last Three Years:

Chapter 4 SELF-ADAPTIVE EXPERT SYSTEM FOR PROCESS MONITORING AND FAULT DETECTION

Abstract

1. Introduction

2. Informational Potential

3. Potential Based Recursive Clustering Algorithm

Listing 1. Pseudo-Code of the Proposed Potention Based Recursive Clustering Procedure (PBRC)

4. Specialization of the PBRC Algorithm for FDI

5. System Testing and Results

Data Collecting

Signal Processing and Extraction of Characteristic Features

Fuzzy Logic of Middle Layer

Fuzzy Logic of Output Layer

Conclusion

References

Biographical Sketch

Milena Petkovic, PhD

Chapter 5 AN INTEGRATED FDD SYSTEM FOR HVAC&R BASED ON VIRTUAL SENSORS

Abstract

Introduction

Review of Virtual Sensors

Benefits of Virtual Sensors

General Steps for Developing Virtual Sensors

Overview of Virtual Sensor Developments in Other Fields

Virtual Sensing in Automobiles

Virtual Sensing in Control Systems

Development of FDD System Based on Virtual Sensor for HVAC&R

Sensor Level Virtual Sensor

Component Level Virtual Sensor

Virtual Refrigerant Mass Flow Sensor

Virtual Air Flow Rate Sensor

System Level Virtual Sensor

Virtual Refrigerant Charge Sensor

Virtual Performance Sensor

Integration of Virutal Sensors

Fault Impact Model

Validation of FDD System Based on Virutal Sensor for HVAC&R

System Description and Test Conditions

Virtual Sensor Peformance Evaluation

Validation of Virtual Refrigerant Charge Sensor

Validation of Virtual Refrigerant Mass Flow Sensor

Validation of Virtual Air Flow Rate Sensor

Fault Impact Model Evaluation

Embedded FDD System Based on Virtual Sensor

User Interface Development

Virtual Sensor Implementation

Conclusion

References

Biographical Sketch

Woohyun Kim

Research and Professional Experience

Professional Appointments

Honors

Publications

INDEX