Filter-Based Fault Diagnosis and Remaining Useful Life Prediction
eBook - ePub

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

  1. 296 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Filter-Based Fault Diagnosis and Remaining Useful Life Prediction

About this book

This book unifies existing and emerging concepts concerning state estimation, fault detection, fault isolation and fault estimation on industrial systems with an emphasis on a variety of network-induced phenomena, fault diagnosis and remaining useful life for industrial equipment. It covers state estimation/monitor, fault diagnosis and remaining useful life prediction by drawing on the conventional theories of systems science, signal processing and machine learning.

Features:



  • Unifies existing and emerging concepts concerning robust filtering and fault diagnosis with an emphasis on a variety of network-induced complexities.



  • Explains theories, techniques, and applications of state estimation as well as fault diagnosis from an engineering-oriented perspective.



  • Provides a series of latest results in robust/stochastic filtering, multidate sample, and time-varying system.



  • Captures diagnosis (fault detection, fault isolation and fault estimation) for time-varying multi-rate systems.



  • Includes simulation examples in each chapter to reflect the engineering practice.

This book aims at graduate students, professionals and researchers in control science and application, system analysis, artificial intelligence, and fault diagnosis.

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Yes, you can access Filter-Based Fault Diagnosis and Remaining Useful Life Prediction by Yong Zhang,Zidong Wang,Ye Yuan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. Acknowledgements
  9. Author Biographies
  10. List of Figures
  11. List of Tables
  12. Symbols
  13. 1 Introduction
  14. 2 Filter/Estimator Design of Networked Multi-rate Sampled Systems with Network-Induced Phenomena
  15. 3 Fault Detection of Networked Multi-rate Systems with Filter-Based Methods
  16. 4 Fault Diagnosis of Multi-rate Time-Varying Systems with Filter-Based Methods
  17. 5 Fault Diagnosis of Modular Multilevel Converters with Machine Learning Methods
  18. 6 Remaining Useful Life Prediction of Industrial Components with Filter-Based Methods
  19. 7 Remaining Useful Life Prediction of Industrial Components with Machine Learning Methods
  20. 8 Conclusions and Future Topics
  21. Bibliography
  22. Index