Probabilistic Prognostics and Health Management of Energy Systems

Probabilistic Prognostics and Health Management of Energy Systems

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ekwaro-Osire, Stephen (Editor), Gonçalves, Aparecido Carlos (Editor), Alemayehu, Fisseha M. (Editor)
Summary:X, 277 p. 121 illus.
text
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Electric power production.
Security systems.
Computational intelligence.
Probabilities.
Thermodynamics.
Heat engineering.
Heat transfer.
Mass transfer.
Electrical Power Engineering.
Mechanical Power Engineering.
Security Science and Technology.
Computational Intelligence.
Probability Theory.
Engineering Thermodynamics, Heat and Mass Transfer.
Online Access:https://doi.org/10.1007/978-3-319-55852-3
Format: Electronic Book
Table of Contents:
  • 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?.

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