@book{170258bb31ae43d08b343d7b5e122b8e,
title = "Advances in computational mathematics for industrial system reliability and maintainability",
abstract = "This book is a comprehensive exploration of computational mathematics and its impact on enhancing the reliability and maintainability of industrial systems. With its careful blend of theoretical foundations, practical applications, and future perspectives, this book is a vital reference for researchers, engineers, and professionals seeking to optimize industrial systems' performance, efficiency, and resilience.",
keywords = "Artificial Intelligence, Asset Management, Case Studies, Computational Mathematics, Cost-Benefit Analysis, Data Analysis, Decision-Making, Future Trends, Implementation Challenges, Industrial Systems, Machine Learning, Maintainability, Maintenance Strategies, Mathematical Models, Optimization Techniques, Reliability, Resilience Analysis, Risk Assessment, Robust Design, Simulation Methods",
author = "Mohammad Yazdi",
year = "2024",
doi = "10.1007/978-3-031-53514-7",
language = "English",
isbn = "9783031535130",
series = "Springer Series in Reliability Engineering",
publisher = "Springer, Springer Nature",
address = "United States",
}