Preface; Part 1: Review and Theoretical Framework (Chaps. 1, 2, 3, 4, 5, and 6); Part 2: Modeling and Experimental Designs (Chaps. 7, 8, 9, and 10); Part 3: Applications (Chaps. 11, 12, 13, 14, 15, 16, and 17); List of Chapter Reviewers; Contents; Contributors; About the Editors; Part I Review and Theoretical Framework; 1 Stochastic Accelerated Degradation Models Based on a Generalized Cumulative Damage Approach; 1.1 Introduction; 1.2 Basic Properties for Stochastic Cumulative Damage Process; 1.3 The Distribution of the Failure Time and the Degradation

1.3.1 Degradation Model Based on Brownian Motion Process1.3.2 Degradation Model Based on Geometric Brownian Motion Process; 1.3.3 Degradation Model Based on Shifted Gamma Motion Process; 1.3.4 General Likelihood for Hard and Soft Failures; 1.4 Degradation Models with Several Accelerating Variables; 1.5 Likelihood Construction with Accelerating Variables and Model Selection; 1.6 Concluding Remarks; References; 2 Hierarchical Bayesian Change-Point Analysis for Nonlinear Degradation Data; 2.1 Introduction; 2.2 Degradation Analysis Using Change-Point Regression; 2.2.1 Change-Point Regression

2.2.2 Hierarchical Bayesian Change-Point Degradation Model2.2.3 Deriving the Failure-Time Distribution; 2.3 Degradation-Based Burn-in Optimization; 2.3.1 Reliability Criterion; 2.3.2 Cost Criterion; 2.3.3 Incorporation of Pre-burn-in Data; 2.4 Results and Discussion; 2.4.1 Degradation Modeling and Failure-Time Distribution Estimation; 2.4.1.1 Individual Degradation Modeling; 2.4.1.2 Hierarchical Bayesian Degradation Modeling; 2.4.2 Burn-in Test Planning; 2.4.2.1 Planning Burn-in Without Inspection; 2.4.2.2 Planning Burn-In with Inspection; 2.5 Conclusion; References

3 Degradation Modeling, Analysis, and Applications on Lifetime Prediction3.1 Introduction; 3.1.1 Traditional Reliability Analysis; 3.1.2 Degradation Data; 3.1.3 Accelerated Degradation Testing; 3.1.3.1 Three Types of ADTs; 3.1.3.2 Accelerated Degradation Models; 3.1.4 Overview; 3.2 Acceleration Models; 3.2.1 Usage Rate Acceleration Models; 3.2.2 Temperature Acceleration Models; 3.2.2.1 Arrhenius Relationship; 3.2.2.2 Eyring Relationship; 3.2.3 Voltage Acceleration Models; 3.2.4 Other Acceleration Models; 3.3 Degradation Modeling and Analysis; 3.3.1 General Path Models

3.3.1.1 Two Basic Methods of Model Application3.3.1.2 Incorporation of Accelerated Models; 3.3.2 Stochastic Processes Models; 3.3.2.1 The Wiener Process; 3.3.2.2 The Gamma Process; 3.3.2.3 The Inverse Gaussian Process; 3.3.3 Estimation of Model Parameters; 3.3.4 Lifetime Prediction; 3.4 Initial Degradation Levels; 3.4.1 Motivating Examples; 3.4.2 Mixed-Effect General Path Model; 3.5 Discussions on Future Study; References; 4 On Some Shock Models with Poisson and Generalized Poisson Shock Processes; 4.1 Introduction; 4.2 Definition of the GPP; 4.3 Extreme Shock Model