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Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM): Intelligent Data-Centric Systems

Editat de Mohamed Arezki Mellal, Michael G. Pecht
en Limba Engleză Paperback – 18 iun 2021
Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability.
The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence.
The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability.


  • Provides the latest review
  • Covers various nature-inspired techniques applied to RAMS+C and PHM problems
  • Includes techniques applied to new applications
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Specificații

ISBN-13: 9780128237496
ISBN-10: 012823749X
Pagini: 144
Dimensiuni: 191 x 235 x 14 mm
Greutate: 0.26 kg
Editura: ELSEVIER SCIENCE
Seria Intelligent Data-Centric Systems


Cuprins

Optimization 1. RAMS+C (reliability, availability, maintainability, safety and cost) 2. Optimal design 3. Diagnostic 4. Resilience and vulnerability 5. Prognostics and Health Management (PHM) 6. Risk assessment and mitigation 7. Faults 8. Obsolescence 9. Lifetime and lifecycle prediction
Methods of interest include, but are not limited to 10. Genetic algorithms 11. Particle swarm optimization 12. Differential evolution 13. Cuckoo algorithms 14. Artificial bee colony 15. Ant colony optimization 16. Artificial neural networks 17. Brain 18. Inspired computing 19. Hybrid techniques