Table of contents for Intelligent fault diagnosis & prognosis for engineering systems / George Vachtsevanos ... [et al.].

Bibliographic record and links to related information available from the Library of Congress catalog.

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Table of Contents
Intelligent Fault Diagnosis and Prognosis for Engineering Systems
		Preface and Acknowledgements
		Prologue
Chapter 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
Chapter 2:	The 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 
Chapter 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 
Chapter 4:	Signal Processing/Data Base Management
4.1 Introduction 
4.2 Signal Processing in CBM/PHM 
4.3 Signal Pre-processing 
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 References 
Chapter 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 Dynamical 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 
Chapter 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 
Chapter 7:	Fault Diagnosis and Prognosis Performance Metrics
7.1 Introduction 
7.2 PHM/CBM Requirement 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 
Chapter 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

Library of Congress Subject Headings for this publication:

Fault location (Engineering).
System analysis.