Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
Reliability engineering and computational intelligence / Coen van Gulijk, Elena Zaitseva, editors.
ISBN
9783030745561 (electronic bk.)
3030745562 (electronic bk.)
9783030745554
3030745554
Published
Cham : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-3-030-74556-1 doi
Call Number
TA169 .R43 2021
Dewey Decimal Classification
620/.00452
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 19, 2021).
Series
Studies in computational intelligence ; v. 976. 1860-949X
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