Probabilistic Prognostics and Health Management of Energy Systems
| Korporativní autor: | |
|---|---|
| Další autoři: | , , |
| Shrnutí: | X, 277 p. 121 illus. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Vydání: | 1st ed. 2017. |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-319-55852-3 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- 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 TrendLines 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?.