Reliability Modelling, System Engineering, and Management Through Computational Intelligence
Language: English
Published by Springer, Springer Mai 2026, 2026
- Hardcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 159.22
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
Seller Inventory # 9783032180926
- Title
- Reliability Modelling, System Engineering, and Management Through Computational Intelligence
- Author
- Mukesh Mishra
- Publisher
- Springer, Springer Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3032180929
- ISBN 13
- 9783032180926
- Item weight
- 657 grams
- Dimensions
- 241x160x21 mm
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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