Intelligent Reliability and Maintainability of Energy Infrastructure Assets: Approaches, Case Studies, Mathematical Modelling, Advanced-decision-making Tools, Operation Research, Progressive Machine Learning and Artificial Inte von Li, He/ Peng, Weiwen/ Adumene, Sidum/ Yazdi, Mohammad: Brand New Hardcover (2023)

Beschreibung

161 pages. 9.25x6.10x9.21 inches. In Stock.

Bestandsnummer des Verk�ufers x-3031299612

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Intelligent Reliability and Maintainability of Energy Infrastructure Assets: Approaches, Case Studies, Mathematical Modelling, Advanced-decision-making Tools, Operation Research, Progressive Machine Learning and Artificial Inte
Verlag: Springer Nature
Erscheinungsjahr: 2023
Sprache: Englisch
ISBN-10: 3031299612
ISBN-13: 9783031299612
Einband: Hardcover
Zustand: Brand New

�ber diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.