Reliability Engineering and Computational Intelligence

Coen van Gulijk, Elena Zaitseva

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English

Springer Nature Switzerland AG
09 August 2022

Reliability engineering; Computer hardware; Artificial intelligence

Series: Studies in Computational Intelligence

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.

Edited by: Coen van Gulijk, Elena Zaitseva
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 2021 ed.
Volume: 976
Dimensions: Height: 235mm, Width: 155mm,
Weight: 486g
ISBN: 9783030745585
ISBN 10: 3030745589
Series: Studies in Computational Intelligence
Pages: 307
Publication Date: 09 August 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.-