Reliability Engineering and 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.

Presents recent research in Reliability Engineering and Computational Intelligence Presents the effectiveness of the combined use of reliability analysis methods and computational intelligence method both in reliability engineering, safety and in the field of computational intelligence The book consists of two part Reliability engineering and Computational intelligence which illustrate the efficiency of the combination of these methods for each of these areas

Inhalt

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.-