Prognostics and Remaining Useful Life (RUL) Estimation
eBook - ePub

Prognostics and Remaining Useful Life (RUL) Estimation

Predicting with Confidence

  1. 461 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Prognostics and Remaining Useful Life (RUL) Estimation

Predicting with Confidence

About this book

Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies.

FEATURES



  • Presents a compendium of RUL estimation methods and technologies used in predictive maintenance



  • Describes different approaches and prognosis methods for different assets



  • Includes a comprehensive compilation of methods from model-based and data-driven to hybrid



  • Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected



  • Contains a toolset of methods and a way of deployment aimed at a versatile audience

This book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.

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Yes, you can access Prognostics and Remaining Useful Life (RUL) Estimation by Diego Galar,Kai Goebel,Peter Sandborn,Uday Kumar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Authors
  8. 1 Information in Maintenance
  9. 2 Predictive Maintenance Programs and Servitization Maintenance as a Service (MaaS) Creating Value through Prognosis Capabilities
  10. 3 RUL Estimation Powered by Data-Driven Techniques
  11. 4 Context Awareness and Situation Awareness in Prognostics
  12. 5 Black Swans and Physics of Failure
  13. 6 Hybrid Prognostics Combining Physics-Based and Data-Driven Approaches
  14. 7 Prognosis in Prescriptive Analytics
  15. 8 Uncertainty Management and the Confidence of RUL Predictions
  16. 9 RUL Estimation of Dynamic and Static Assets
  17. 10 Principles of Digital Twin
  18. 11 Application of Prognosis in Industry, Energy, and Transportation
  19. Index