📮 Data Analytics for Smart Infrastructure by Yang Wang (.ePUB)+

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. Machine Learning and statistics are not polar opposites. Mathematics is fundamental to statistics, making it a powerful tool for bridging the gap between data and real-world problems. Similarly, Machine Learning acts as another layer, connecting fundamental theory to practical applications.

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