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Full Description
Engineering Reliability and Risk Assessment explains how to improve the performance of a system using the latest risk and reliability models. Against a backdrop of increasing availability of industrial data, and ever-increasing global commercial competition, the standards for optimal efficiency with minimum hazards keep improving. Topics explained include Effective strategies for the maintenance of the mechanical components of a system, How to schedule necessary interventions throughout the product life cycle, How to understand the structure and cost of complex systems, Planning a schedule to improve the reliability and life of the system, software, system safety and risk informed asset management, and more.
Contents
1. Bayesian networks for failure analysis of complex systems using different data sources
2. Hybrid failure modes and effect analysis model for reliability and safety evaluation of pressurized steam trap
3. Reliability and availability analysis of a standby system with activation time and varying demand
4. Fuzzy attack tree analysis of security threat assessment in an internet security system using algebraic t-norm and t-conorm
5. A new flexible extension to a lifetime distributions, properties, inference, and applications in engineering science
6. Markov and semi-Markov models in system reliability
7. Emerging trends and future directions in software reliability growth modelling
8. Reliability and profit analysis of a markov model having cost-free warranty with waiting repair facility
9. Semi-Markov modeling applications in system availability analysis
10. An a-cut interval-based similarity aggregation method to evaluate fault tree events for system safety under fuzzy environment
11. Business analytics to advance industrial safety management
12. Risk assessment and management of fire-induced domino effects in chemical industrial park
13. Stability assessment using Bayesian network control for inverters in smart grid
