
Reliability Engineering and Computational Intelligence
Springer (Publisher)
Published on 9. August 2022
Book
Paperback/Softback
VIII, 307 pages
978-3-030-74558-5 (ISBN)
Description
Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field.
This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.
This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.
More details
Series
Edition
2021 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
70 s/w Abbildungen, 57 farbige Abbildungen
VIII, 307 p. 127 illus., 57 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
482 gr
ISBN-13
978-3-030-74558-5 (9783030745585)
DOI
10.1007/978-3-030-74556-1
Schweitzer Classification
Other editions
Additional editions

Coen van Gulijk | Elena Zaitseva
Reliability Engineering and Computational Intelligence
Book
08/2021
Springer
€160.49
Shipment within 7-9 days
Content
System Reliability Analysis and Assessment by Means of Logic Differential Calculus and Hasse Diagram.- The survival signature for quantifying system reliability: an introductory overview from practical perspective.- Application of Fuzzy Decision Tree for the construction of Structure Function for System Reliability Analysis based on Uncertain Data.- Unavailability Optimization of a System Undergoing a Real Ageing Process under Failure Based PM.-