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.
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.-
