Nature-inspired computing paradigms in systems: reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM)
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...
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| Weitere beteiligte Personen: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam
Academic Press
2021
|
| Schriftenreihe: | Intelligent data centric systems
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780128237502/?ar |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (1 volume) |
| ISBN: | 0128237503 9780128237502 |
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| series2 | Intelligent data centric systems |
| spelling | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) edited by Mohamed Arezki Mellal, Michael G. Pecht Amsterdam Academic Press 2021 1 Online-Ressource (1 volume) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems 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. Natural computation Computational intelligence Reliability (Engineering) Computational neuroscience Calcul naturel Intelligence informatique Fiabilité Neurosciences informatiques Mellal, Mohamed Arezki HerausgeberIn edt Pecht, Michael G. HerausgeberIn edt 9780128237496 Erscheint auch als Druck-Ausgabe 9780128237496 |
| spellingShingle | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) Natural computation Computational intelligence Reliability (Engineering) Computational neuroscience Calcul naturel Intelligence informatique Fiabilité Neurosciences informatiques |
| title | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) |
| title_auth | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) |
| title_exact_search | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) |
| title_full | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) edited by Mohamed Arezki Mellal, Michael G. Pecht |
| title_fullStr | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) edited by Mohamed Arezki Mellal, Michael G. Pecht |
| title_full_unstemmed | Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) edited by Mohamed Arezki Mellal, Michael G. Pecht |
| title_short | Nature-inspired computing paradigms in systems |
| title_sort | nature inspired computing paradigms in systems reliability availability maintainability safety and cost rams c and prognostics and health management phm |
| title_sub | reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) |
| topic | Natural computation Computational intelligence Reliability (Engineering) Computational neuroscience Calcul naturel Intelligence informatique Fiabilité Neurosciences informatiques |
| topic_facet | Natural computation Computational intelligence Reliability (Engineering) Computational neuroscience Calcul naturel Intelligence informatique Fiabilité Neurosciences informatiques |
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