| 书目名称 | Intelligent Reliability and Maintainability of Energy Infrastructure Assets | | 编辑 | He Li,Weiwen Peng,Mohammad Yazdi | | 视频video | | | 概述 | Provides a clear overview of reliability and maintainability of energy infrastructure assets.Shows the reader a successful application of intelligent reliability and maintainability of energy infrastr | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | .This book reviews and presents several advanced approaches to energy infrastructure assets‘ intelligent reliability and maintainability. Each introduced model provides case studies indicating high efficiency, robustness, and applicability, allowing readers to utilize them in their understudy intelligent reliability and maintainability of energy infrastructure assets domains...The book begins by reviewing the state-of-the-art research on the reliability and maintainability of energy infrastructure assets and emphasizes the intelligent tools and methods proposed from a bibliometric and literature review point of view. It then progresses logically, dedicating a chapter to each approach, dynamic Bayesian modeling network, convolutional neural network model, global average pooling-based convolutional Siamese network, an integrated probabilistic model for the failure consequence assessment, and more...This book interests professionals and researchers working in reliability and maintainability and postgraduate and undergraduate students studying intelligent reliability applications and energy infrastructure assets‘ maintainability.. | | 出版日期 | Book 2023 | | 关键词 | Dynamic risk assessment; Optimization; Resilience; Offshore structures; Oil and Gas pipelines; Corrosion; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-29962-9 | | isbn_softcover | 978-3-031-29964-3 | | isbn_ebook | 978-3-031-29962-9Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:20:40
