Recent Advances in System Reliability

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.

Klappentext

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.

Inhalt

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.