Probabilistic Prognostics and Health Management of Energy Systems

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

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

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?