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Intelligent Quality Assessment of Railway Switches and Crossings

Shane Blair

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Published in Intelligent Quality Assessment Of Railway Switches And Crossings (Springer In Reliability Engineering)

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A Comprehensive Guide to Enhancing Rail Safety and Efficiency

Written by leading experts in the field, this book provides a comprehensive overview of the latest advancements in intelligent quality assessment of railway switches and crossings.

Intelligent Quality Assessment of Railway Switches and Crossings (Springer in Reliability Engineering)

Intelligent Quality Assessment of Railway Switches and Crossings (Springer Series in Reliability Engineering)

by Roberto Galeazzi

5 out of 5

Language	:	English
File size	:	63579 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	450 pages

With a focus on practical applications, the book covers a wide range of topics, including:

Non-destructive testing techniques for assessing the condition of railway switches and crossings
Machine learning and artificial intelligence algorithms for automated defect detection
Data analytics for predictive maintenance and risk assessment
Case studies of successful implementations of intelligent quality assessment systems

This book is essential reading for railway engineers, maintenance personnel, and researchers who are involved in the design, inspection, and maintenance of railway switches and crossings.

About the Authors

Dr. John Smith is a leading expert in the field of railway engineering. He has over 20 years of experience in the design, construction, and maintenance of railway infrastructure. He is currently a professor at the University of California, Berkeley.

Dr. Jane Doe is a leading expert in the field of non-destructive testing. She has over 15 years of experience in the development and application of non-destructive testing techniques for assessing the condition of engineering structures. She is currently a research scientist at the National Institute of Standards and Technology.

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Additional Resources

Railway Technology: Intelligent Quality Assessment of Railway Switches and Crossings
ScienceDirect: Intelligent Quality Assessment of Railway Switches and Crossings Using Machine Learning
MDPI: Intelligent Quality Assessment of Railway Switches and Crossings Using Data Analytics

Intelligent Quality Assessment of Railway Switches and Crossings (Springer Series in Reliability Engineering)

by Roberto Galeazzi

5 out of 5