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Full Description
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.
Contents
1. AI Empowering Infrastructure: the Road to Smartness 2. Asset anomaly identification - damage detection in structural health monitoring 3. Network performance evaluation - Delay Propagation on Large Scale Railway Systems 4. Network Status Monitoring - Signal Aspect Detection for Railway Networks 5. Underground Vessel: Water Pipe Failure Prediction 6. Long-Term Prediction of Water Supply Networks Condition 7. Service Demand Prediction - passenger flow 8. Prioritising Risk Assets for Infrastructure Maintenance 9. Adapting dynamic behavior evolution in structural health monitoring 10. Smart Sensing and Preventative Maintenance
