Data Analytics for Smart Infrastructure
eBook - ePub

Data Analytics for Smart Infrastructure

Asset Management and Network Performance

  1. 184 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Analytics for Smart Infrastructure

Asset Management and Network Performance

About this book

This book presents, for the first time, data analytics for smart infrastructures. The authors draw on over a decade's experience working with industry and demonstrating the capabilities of data analytics for infrastructure and asset management.

The volume gives data-driven solutions to cover critical capabilities for infrastructure and asset management across three domains: 1) situation awareness 2) predictive analytics and 3) decision support. The reader will gain from various data analytic techniques including anomaly detection, performance evaluation, failure prediction, trend analysis, asset prioritization, smart sensing and real-time/online systems. These data analytic techniques are vital to solving problems in infrastructure and asset management. The reader will benefit from case studies drawn from critical infrastructures such as water management, structural health monitoring and rail networks.

This groundbreaking work will be essential reading for those studying and practicing analytics in the context of smart infrastructure.

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Yes, you can access Data Analytics for Smart Infrastructure by Yang Wang,Zhidong Li,Bin Liang,Hongda Tian,Ting Guo,Fang Chen in PDF and/or ePUB format, as well as other popular books in Mathematics & Infrastructure. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Author
  8. Chapter 1 AI Empowering Infrastructure: The Road to Smartness
  9. Chapter 2 Asset Anomaly Identification โ€“ Damage Detection in Structural Health Monitoring
  10. Chapter 3 Network Performance Evaluation โ€“ Delay Propagation on Large Scale Railway Systems
  11. Chapter 4 Network Status Monitoring โ€“ Signal Aspect Detection for Railway Networks
  12. Chapter 5 Underground Vessel: Water Pipe Failure Prediction
  13. Chapter 6 Long-Term Prediction of Water Supply Networks Condition
  14. Chapter 7 Service Demand Prediction โ€“ Passenger Flow
  15. Chapter 8 Prioritising Risk Assets for Infrastructure Maintenance
  16. Chapter 9 Adapting Dynamic Behaviour Evolution in Structural Health Monitoring
  17. Chapter 10 Smart Sensing and Preventative Maintenance
  18. References
  19. Index