Reliability Engineering and Computational Intelligence
Seiten
2022
|
1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-74558-5 (ISBN)
Springer International Publishing (Verlag)
978-3-030-74558-5 (ISBN)
Computational intelligence is rapidly becoming an essential part of reliability engineering. Scientists benefit from this book by gaining insight in the latest in the merger of 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.
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.-
Erscheinungsdatum | 10.08.2022 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | VIII, 307 p. 127 illus., 57 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 486 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Informatik ► Weitere Themen ► Hardware | |
Technik ► Maschinenbau | |
Schlagworte | Accident and Incident Investigation • Artificial Intelligent • Computational Intelligence • data mining and knowledge discovery • Deep learning • Education • E-Learning • Hardware and Software Solutions • Human Reliability Analysis • Occupational Health and Safety • Reliability Analysis • Risk and Hazard Analysis • Safety • Software Reliability • Testing and Fault-tolerant Systems |
ISBN-10 | 3-030-74558-9 / 3030745589 |
ISBN-13 | 978-3-030-74558-5 / 9783030745585 |
Zustand | Neuware |
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