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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
70 s/w Abbildungen, 57 farbige Abbildungen
VIII, 307 p. 127 illus., 57 illus. in color.
Dateigröße
ISBN-13
978-3-030-74556-1 (9783030745561)
DOI
10.1007/978-3-030-74556-1
Schweitzer Klassifikation
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.-
