Recent Advances in System Reliability - Signatures, Multi-state Systems and Statistical Inference

Recent Advances in System Reliability discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference. It describes the latest achievements in these fields, and covers the application of these achievements to reliability engineering practice.
The chapters cover a wide range of new theoretical subjects and have been written by leading experts in reliability theory and its applications. The topics include: concepts and different definitions of signatures (D-spectra), their properties and applications to reliability of coherent systems and network-type structures; Lz-transform of Markov stochastic process and its application to multi-state system reliability analysis; methods for cost-reliability and cost-availability analysis of multi-state systems; optimal replacement and protection strategy; and statistical inference.
Recent Advances in System Reliability presents many examples to illustrate the theoretical results. Real world multi-state systems, such as power generation and transmission, refrigeration, and production systems, are considered in the form of case studies, making the book a useful resource for researchers and postgraduate students.

Table des matières

1. Signature Representation and Preservation Results for Engineered Systems and Applications to Statistical Inference.- 2. Using D-Spectra in Network Monte Carlo: Estimation of System Reliability and Component Importance.- 3. Signatures and Symmetry Properties of Coherent Systems.- 4. Multidimensional Spectra of Multistate Systems with Binary Components.- 5. Applications of Samaniego Signatures to Bounds on Variances of Coherent and Mixed System Lifetimes.- 6. Lz-Transform for a Discrete-state Continuous-Time Markov Process and Its Applications to Multi-state System Reliability.- 7. Reliability Decisions for Supermarket Refrigeration System by Using Combined Stochastic Process and Universal Generating Function Method: Case Study.- 8. Importance Analysis of a Multi-State System Based on Multiple-Valued Logic Methods.- 9. Optimal Replacement and Protection Strategy for Parallel Systems.- 10. Heuristic Optimization Techniques for Determining Optimal Reserve Structure of Power Generating Systems.- 11. Determination of Vital Activities in Reliability Program for Multi-state System by Using House of Reliability.- 12. Multi-State Availability Modeling in Practice.- 13. Reliability Analysis of Redundant Systems with Unimodal Hazard Rate Functions.- 14. Multiobjective Reliability Allocation in Multi-state Systems: Decision Making by Visualization and Analysis of Pareto Fronts and Sets.- 15. Optimal Incomplete Maintenance in Multi-state Systems.- 16. Nonparametric Estimation of Marginal Temporal Functionals in a Multi-state Model.- 17. Frailty or Transformation Models in Survival Analysis and Reliability.- 18. Goodness of Fit Tests for Reliability Modeling.- 19. On the Markov Three-state Progressive Model.- 20. Multi-State Semi-Markov Model of the Operation Reliability.- 21. Reliability of Continuous-State Systems in View of Heavy-Tailed Distributed Performance Features.- 22. On Optimal Control of Systems on Their Life Time.

Résumé

Recent Advances in System Reliability discusses developments in modern reliability theory such as signatures, multi-state systems and statistical inference. It describes the latest achievements in these fields, and covers the application of these achievements to reliability engineering practice.
The chapters cover a wide range of new theoretical subjects and have been written by leading experts in reliability theory and its applications.  The topics include: concepts and different definitions of signatures (D-spectra),  their  properties and applications  to  reliability of coherent systems and network-type structures; Lz-transform of Markov stochastic process and its application to multi-state system reliability analysis; methods for cost-reliability and cost-availability analysis of multi-state systems; optimal replacement and protection strategy; and statistical inference.
Recent Advances in System Reliability presents many examples to illustrate the theoretical results. Real world multi-state systems, such as power generation and transmission, refrigeration, and production systems, are considered in the form of case studies, making the book a useful resource for researchers and postgraduate students.

Texte suppl.

From the reviews:
“Both the title, Recent Advances in System Reliability, and the subtitle, Signatures, Multi-state Systems and Statistical Inference, provide excellent descriptions of this book, which comprises 22 chapters contributed by 42 coauthors from 18 countries. … academic, doctoral, and industrial researchers in the field of system reliability are likely to find the content informative and helpful. … it is a comprehensive and authoritative guide to some of the latest developments in system reliability modeling and analysis.” (David F. Percy, Interfaces, Vol. 43 (4), July-August, 2013)

Commentaire

From the reviews:
"Both the title, Recent Advances in System Reliability, and the subtitle, Signatures, Multi-state Systems and Statistical Inference, provide excellent descriptions of this book, which comprises 22 chapters contributed by 42 coauthors from 18 countries. ... academic, doctoral, and industrial researchers in the field of system reliability are likely to find the content informative and helpful. ... it is a comprehensive and authoritative guide to some of the latest developments in system reliability modeling and analysis." (David F. Percy, Interfaces, Vol. 43 (4), July-August, 2013)

Détails du produit

• Collaboration: Frenkel (Editeur), Frenkel (Editeur), Ilia Frenkel (Editeur), Anatol Lisnianski (Editeur), Anatoly Lisnianski (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 01.10.2011
• EAN: 9781447122067
• ISBN: 978-1-4471-2206-7
• Pages: 320
• Poids: 640 g
• Illustrations: XVI, 320 p.
• Thèmes: Springer Series in Reliability Engineering; Springer Series in Reliability Engineering; Springer Series in Realibility Engineering
• Catégorie: Sciences naturelles, médecine, informatique, technique > Technique > Machines, ingénierie