Abdollah Malekjafarian – författare
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2 produkter
2 produkter
Häftad, Engelska, 2026
2 561 kr
Kommande
Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering offers a thorough exploration of the latest advancements transforming railway management. With a strong focus on practical and theoretical approaches, this book introduces innovative AI techniques including machine learning, computer vision, and predictive analytics. These methodologies are presented in the context of railway infrastructure, empowering engineers and researchers to utilize cutting-edge technology for enhanced system reliability. By bridging the gap between theory and real-world applications, the book enables early detection of anomalies, supporting proactive maintenance strategies and improved operational efficiency in railway networks.This book acts as a vital reference for those seeking to understand and implement AI-driven solutions in railway systems, encouraging the adoption of anticipatory strategies to shape future trends. Readers will discover how AI innovations can streamline operations, optimize resource allocation, and significantly improve network safety, making it an essential guide for professionals looking to stay ahead in the evolving field of railway infrastructure management.Covers the diverse array of Artificial Intelligence (AI) tools that can address the complex challenges associated with railway infrastructure managementExplores AI capabilities in the continuous monitoring of railway infrastructure, providing real-time insights into the condition of tracks, bridges, tunnels, and other critical assetsLeverages the potential of AI in the automatization of inspection processes, reducing the need for manual intervention and improving the efficiency and accuracy of assessmentsPresents AI algorithms for early anomaly detection or deviations from normal operating conditions, alerting infrastructure managers to potential issues before they escalate
Häftad, Engelska, 2027
2 162 kr
Kommande
Structural Health Monitoring for Assessment and Lifetime Extension of Wind Farms provides, for the first time, a comprehensive guide to recent efforts on the extension of lifetime of wind turbines, including reliability and safety assessment methods, recent condition assessment methods, estimates of remaining useful life, and standardization. While making accurate and reliable decisions on lifetime extension of wind farms is becoming an important issue in the wind energy sector, there are limited resources on this topic. Lifetime extension requires an accurate assessment of the turbine’s current condition and an estimation of the so-called remaining useful lifetime. In this context, the digitalization of the turbine system components plays a critical role in ensuring this goal, as it provides the means for monitoring of structural integrity based on data collected by vibration-based sensing systems and SCADA (supervisory control and data acquisition). These methods can be used to detect potential defects in wind turbine components such as cracks, delamination etc. at early stages. The book is organized into four themes, covering numerical modelling and digital twinning, structural health monitoring methods, fatigue life evaluation of turbine components, and decision-making for life extension. This latest volume in the Elsevier Wind Energy Engineering Series is of interest to researchers, academics, graduate students, and industry professionals working in the broad field of wind energy, from research to operations, and with an interest in structural health monitoring and the lifetime extension of wind power production infrastructure.Covers the increasingly important topic of structural health monitoring of wind turbinesOffers a thorough exploration of the lifetime extension of wind turbinesDetails reliability and safety assessment methods, condition assessment methods, estimation of the remaining useful life, and standardization