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Reliability Engineering

Theory and Applications

Medium: Buch
ISBN: 978-0-367-78095-1
Verlag: CRC Press
Erscheinungstermin: 31.03.2021
Lieferfrist: bis zu 10 Tage

Reliability theory is a multidisciplinary science aimed at developing complex systems that are resistant to failures. Reliability engineering has emerged as a main field not only for scientists and researchers, but also for engineers and industrial managers. This book covers the recent developments in reliability engineering. It presents new theoretical issues that were not previously published, as well as the solutions of practical problems and case studies illustrating the applications methodology. This book is written by a number of leading scientists, analysts, mathematicians, statisticians, and engineers who have been working on the front end of reliability science and engineering.

Reliability Engineering: Theory and Applications covers the recent developments in reliability engineering. It presents new theoretical issues that were not previously presented in the literature, as well as the solutions of important practical problems and case studies illustrating the applications methodology.

Features

- Covers applications to reliability engineering practice

- Discusses current advances and developments

- Introduces current achievements in the field

- Considers and analyses case studies along with real world examples

- Presents numerous examples to illustrate the theoretical results


Produkteigenschaften


  • Artikelnummer: 9780367780951
  • Medium: Buch
  • ISBN: 978-0-367-78095-1
  • Verlag: CRC Press
  • Erscheinungstermin: 31.03.2021
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: Advanced Research in Reliability and System Assurance Engineering
  • Produktform: Kartoniert
  • Gewicht: 371 g
  • Seiten: 240
  • Format (B x H x T): 156 x 234 x 13 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

1. Multi-State Systems. 2. System Performance. 3. Availability. 4. Maintenance. 5. Markov Systems. 6. Semi-Markov Models. 7. Reliability Assessment. 8. Lz Transformation. 9. Survival Analysis. 10. Statistical Inference. 11. Preventive Maintenance. 12. Optimization. 13. Operational Cost. 14. Repairable System. 15. Markov Process. 16. Degradation Process. 17. Stochastic Process.