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Titlebook: Advances in Computational Mathematics for Industrial System Reliability and Maintainability; Mohammad Yazdi Book 2024 The Editor(s) (if ap

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發(fā)表于 2025-3-21 18:37:57 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Computational Mathematics for Industrial System Reliability and Maintainability
影響因子2023Mohammad Yazdi
視頻videohttp://file.papertrans.cn/148/147175/147175.mp4
發(fā)行地址Covers reliability and maintainability tools and their applications to industrial systems.Explores mathematical models for reliability, covering probability theory, and statistical methods.Includes re
學(xué)科分類Springer Series in Reliability Engineering
圖書封面Titlebook: Advances in Computational Mathematics for Industrial System Reliability and Maintainability; Mohammad Yazdi Book 2024 The Editor(s) (if ap
影響因子.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..
Pindex Book 2024
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書目名稱Advances in Computational Mathematics for Industrial System Reliability and Maintainability影響因子(影響力)




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Advances in Computational Mathematics for Industrial System Reliability and Maintainability978-3-031-53514-7Series ISSN 1614-7839 Series E-ISSN 2196-999X
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Bioinformatics Research and Applications a pivotal influencer in shaping their reliability and maintainability. This chapter looks into the multifaceted realm of industrial systems, offering a granular classification and tracing their evolutionary trajectory from rudimentary mechanization to sophisticated automation bolstered by computer
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https://doi.org/10.1007/978-3-031-64636-2ivotal role of computational mathematics, the chapter delves into its wide-ranging applications, from predicting system failures to enhancing system performance. A significant focus is given to simulation methods, particularly the Monte Carlo and Fault Tree Analysis, which are integral to ascertaini
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