Intelligent Fault Diagnosis and Prognosis for Engineering SystemsISBN: 978-0-471-72999-0
Hardcover
456 pages
September 2006
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ACKNOWLEDGMENTS.
PROLOGUE.
1 INTRODUCTION.
1.1 Historical Perspective.
1.2 Diagnostic and Prognostic System Requirements.
1.3 Designing in Fault Diagnostic and Prognostic Systems.
1.4 Diagnostic and Prognostic Functional Layers.
1.5 Preface to Book Chapters.
1.6 References.
2 SYSTEMS APPROACH TO CBM/PHM.
2.1 Introduction.
2.2 Trade Studies.
2.3 Failure Modes and Effects Criticality Analysis (FMECA).
2.4 System CBM Test-Plan Design.
2.5 Performance Assessment.
2.6 CBM/PHM Impact on Maintenance and Operations: Case Studies.
2.7 CBM/PHM in Control and Contingency Management.
2.8 References.
3 SENSORS AND SENSING STRATEGIES.
3.1 Introduction.
3.2 Sensors.
3.3 Sensor Placement.
3.4 Wireless Sensor Networks.
3.5 Smart Sensors.
3.6 References.
4 SIGNAL PROCESSING AND DATABASE MANAGEMENT SYSTEMS.
4.1 Introduction.
4.2 Signal Processing in CBM/PHM.
4.3 Signal Preprocessing.
4.4 Signal Processing.
4.5 Vibration Monitoring and Data Analysis.
4.6 Real-Time Image Feature Extraction and Defect/Fault Classification.
4.7 The Virtual Sensor.
4.8 Fusion or Integration Technologies.
4.9 Usage-Pattern Tracking.
4.10 Database Management Methods.
4.11 References.
5 FAULT DIAGNOSIS.
5.1 Introduction.
5.2 The Diagnostic Framework.
5.3 Historical Data Diagnostic Methods.
5.4 Data-Driven Fault Classification and Decision Making.
5.5 Dynamic Systems Modeling.
5.6 Physical Model–Based Methods.
5.7 Model-Based Reasoning.
5.8 Case-Based Reasoning (CBR).
5.9 Other Methods for Fault Diagnosis.
5.10 A Diagnostic Framework for Electrical/Electronic Systems.
5.11 Case Study: Vibration-Based Fault Detection and Diagnosis for Engine Bearings.
5.12 References.
6 FAULT PROGNOSIS.
6.1 Introduction.
6.2 Model-Based Prognosis Techniques.
6.3 Probability-Based Prognosis Techniques.
6.4 Data-Driven Prediction Techniques.
6.5 Case Studies.
6.6 References.
7 FAULT DIAGNOSIS AND PROGNOSIS PERFORMANCE METRICS.
7.1 Introduction.
7.2 CBM/PHM Requirements Definition.
7.3 Feature-Evaluation Metrics.
7.4 Fault Diagnosis Performance Metrics.
7.5 Prognosis Performance Metrics.
7.6 Diagnosis and Prognosis Effectiveness Metrics.
7.7 Complexity/Cost-Benefit Analysis of CBM/PHM Systems.
7.8 References.
8 LOGISTICS: SUPPORT OF THE SYSTEM IN OPERATION.
8.1 Introduction.
8.2 Product-Support Architecture, Knowledge Base, and Methods for CBM.
8.3 Product Support without CBM.
8.4 Product Support with CBM.
8.5 Maintenance Scheduling Strategies.
8.6 A Simple Example.
8.7 References.
APPENDIX.
INDEX.