1. Introduction

2. Review of CBM, Modelings and Algorithms  
2.1. Diagnostics and Prognostics: Key Differences  
2.3. Failure modes and Prognostic tasks  
2.4. Confidence limits

3. Prognostic Models And Their Classification

4. Life Expectancy Models  
4.1. Stochastic models  
4.2. Statistical models

5. P&HM Tool Selection Method  
5.1. Visualization tools

6. Performance Metrics for Evaluating Prognostic Predictions

7. Automobile Applications  
7.1. Peer-to-Peer Collaborative Vehicle Health Management  
980 7.3. Alternator

8. Challenges And Opportunities

9. Concluding Remarks