Overview
- 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 infrastructure assets
- Appeals to researchers, reliability and maintainability experts, and alike
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 473)
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About this book
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.
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Keywords
- Dynamic risk assessment
- Optimization
- Resilience
- Offshore structures
- Oil and Gas pipelines
- Corrosion
- Material depredation
- Monte Carlo simulation
- Failure probability
- System safety
- Heuristic and metaheuristic algorithms
- Fault detection and diagnosis
- Multi-criteria decision-making
- Cost-based assessment
- Chemical complex plant
- Marine and offshore
- Renewable energies
Table of contents (9 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Intelligent Reliability and Maintainability of Energy Infrastructure Assets
Authors: He Li, Weiwen Peng, Sidum Adumene, Mohammad Yazdi
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-29962-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-29961-2Published: 04 May 2023
Softcover ISBN: 978-3-031-29964-3Published: 05 May 2024
eBook ISBN: 978-3-031-29962-9Published: 03 May 2023
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIII, 148
Number of Illustrations: 2 b/w illustrations, 53 illustrations in colour
Topics: Computational Intelligence, Industrial and Production Engineering