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PREFACE
Chapter 1 Background of Systems Health Management
1£®1 Introduction
1£®2 Maintenance Strategy
1£®3 From Maintenance to PHM
1£®4 Definitions and Terms of Systems Health Management
1£®5 Preface to Book Chapters
1£®6 References

Chapter 2 DesigApproach for Systems Health Management
2£®1 Introduction
2£®2 Systems Engineering
2£®3 Systems Engineering£¬ Dependability£¬ and Health Management
2£®4 SHM Lifecycle StagesPREFACE
Chapter 1 Background of Systems Health Management
1£®1 Introduction
1£®2 Maintenance Strategy
1£®3 From Maintenance to PHM
1£®4 Definitions and Terms of Systems Health Management
1£®5 Preface to Book Chapters
1£®6 References

Chapter 2 DesigApproach for Systems Health Management
2£®1 Introduction
2£®2 Systems Engineering
2£®3 Systems Engineering£¬ Dependability£¬ and Health Management
2£®4 SHM Lifecycle Stages
2£®4£®1 Research stage
2£®4£®2 Requirements development stage
2£®4£®3 System/functionalanalysis
2£®4£®4 Design£¬ synthesis andintegration
2£®4£®5 System test and evaluation
2£®4£®6 HM system maturation
2£®5 A Systems-based Methodology for CBM/PHM Design
2£®6 References

Chapter 3 Technical Approaches for Systems Health Management
3£®1 Introduction
3£®2 Data-DriveApproaches
3£®3 Model-Based Approaches
3£®4 Hybrid Approaches
3£®5 OSA-CBM Architecture
3£®6 Problems during Implementation
3£®7 Related Techniques
3£®8 References

Chapter 4 Sensors and Data Acquisition
4£®1 Introduction
4£®2 Data Acquisition
4£®2£®1 Selecting a proper measure
4£®2£®2 Vibratiotransducers
4£®2£®3 Transducer selection
4£®2£®4 Transducermounting
4£®2£®5 Transducer location
4£®2£®6 Frequency spans
4£®2£®7 Data display
4£®3 References

Chapter 5 Signal Processing and Feature Representation
5£®1 Signal Processing
5£®2 Feature Representation
5£®2£®1 Features itime domain
5£®2£®2 Features ifrequency domain
5£®2£®3 Features iauto-regressiodomain
5£®3 References

Chapter 6 Feature Extraction
6£®1 Introduction
6£®2 BasicConcepts
6£®2£®1 Patterand feature vector
6£®2£®2 Class
6£®3 Parameter EvaluatioTechnique
6£®4 Principal Component Analysis (PCA)
6£®5 Kernel PCA
6£®6 Fisher Discriminant Analysis (FDA)
6£®7 Linear Discriminant Analysis (LDA)
6£®8 References

Chapter 7 Fault Diagnosis
7£®1 Introduction
7£®2 Data-DriveDiagnosis
7£®2£®1 Classifierconcepts
……
Chapter 8 Failure Prognosis
Chapter 9 Data Fusion
Chapter 10 Cases Study for Rail Vehicle Systems Health Management ÐÅÏ¢