Probabilistic Prognostics and Health Management of Energy Systems

Part I: Trends and Applications.- Chapter 1. Probabilistic Prognostics and Health Management: A Brief Summary.- Chapter 2. Introduction to Data-driven Methodologies for Prognostics and Health Management.- Chapter 3. Prognostics and Health Management of Wind Turbines - Current Status and Future Opportunities.- Chapter 4. Overview on Gear Health Prognostics.- Chapter 5. Probabilistic Model-Based Prognostics Using Meshfree Modeling.- Chapter 6. Cognitive Architectures for Prognostic Health Management.- Part II Modeling and Uncertainty Quantification.- Chapter 7. A Review of Crack Propagation Modeling using Peridynamics.- Chapter 8. Modeling and Quantification of Physical Systems Uncertainties in a Probabilistic Framework.- Chapter 9. Towards a More Robust Understanding of the Uncertainty of Wind Farm Reliability.- Chapter 10. Data Analysis in Python: Anonymized Features and Imbalanced Data Target.- Chapter 11. The Use of Trend Lines Channels and Remaining Useful Life Prediction. Chapter.- 12. The Derivative as a Probabilistic Synthesis of Past and Future Data and Remaining Useful Life Prediction.- Part III Condition Monitoring.- Chapter 13. Monitoring and Fault Identification in Aeronautical Structures Using an Wavelet-Artificial Immune System Algorithm.- Chapter 14. An Illustration of Some Methods to Detect Faults in Geared Systems using a Simple Model of Two Meshed Gears.- Chapter 15. Condition Monitoring of Structures under Non-Ideal Excitation using Low Cost Equipment.-  Chapter 16. Maintenance Management and Case Studies in the Luís Carlos Prestes Thermoelectric Power Plant.- Chapter 17. Stiffness Nonlinearity in Structural Dynamics: Our Friend or Enemy?.