Reliability Modelling, System Engineering, and Management Through Computational Intelligence

Adarsh Anand

ISBN 10: 3032180929 / ISBN 13: 9783032180926

Published by Springer Nature Switzerland AG Jul 2026, 2026

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses both reliability in reactive maintenance and an integrated, intelligent management strategy through the application of AI, machine learning, and soft computing. System reliability is becoming an increasingly critical concern due to the growing size and complexity of modern system designs. These systems encompass autonomous transportation networks and integrated power infrastructures. To address this paradigm shift, the disciplines of this book have united to integrate three fundamental domains: systematic System Engineering to ensure structural integrity, advanced reliability modeling to deliver precise prognoses, and cutting-edge computational intelligence (CI) to facilitate predictive decision-making.The book's topical sections encompass subjects such as digital siblings, critical infrastructures (including IoT, peripheral devices, smart city environments, and related areas), and fundamental data-driven frameworks. Researchers, graduate students, and professionals engaged in the development and maintenance of resilient technology for the future are encouraged to read this book. 282 pp. Englisch.

Seller Inventory # 9783032180926

Bibliographic Details

• Title: Reliability Modelling, System Engineering, and Management Through Computational Intelligence
• Publisher: Springer Nature Switzerland AG Jul 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 3032180929
• ISBN 13: 9783032180926
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 21D millimeters 241 millimeters width by 160 millimeters height by 21 millimeters depth
• Weight: 657 grams

About this title

Synopsis

This book discusses both reliability in reactive maintenance and an integrated, intelligent management strategy through the application of AI, machine learning, and soft computing. System reliability is becoming an increasingly critical concern due to the growing size and complexity of modern system designs. These systems encompass autonomous transportation networks and integrated power infrastructures. To address this paradigm shift, the disciplines of this book have united to integrate three fundamental domains: systematic System Engineering to ensure structural integrity, advanced reliability modeling to deliver precise prognoses, and cutting-edge computational intelligence (CI) to facilitate predictive decision-making.

The book's topical sections encompass subjects such as digital siblings, critical infrastructures (including IoT, peripheral devices, smart city environments, and related areas), and fundamental data-driven frameworks. Researchers, graduate students, and professionals engaged in the development and maintenance of resilient technology for the future are encouraged to read this book.