Data Analytics for Smart Infrastructure

£48.99

Data Analytics for Smart Infrastructure

Asset Management and Network Performance

Interdisciplinary studies Probability and statistics Applied mathematics Urban and municipal planning and policy Information technology: general topics Data mining Mathematical theory of computation

Authors: Yang Wang, Zhidong Li, Bin Liang, Hongda Tian, Ting Guo, Fang Chen

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Language: English

Published by: CRC Press

Published on: 31st January 2025

Format: LCP-protected ePub

ISBN: 9781040272589


Introduction

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.

Content Overview

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.

Target Audience

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

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