Engineering reliability and risk assessment /
This book 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. T...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam, Netherlands ; Cambridge, MA :
Elsevier,
[2023]
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| Series: | Advances in reliability science
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Table of contents:Bayesian networks for failure analysis of complex systems using different data sources; Failure modes and effect analysis model for the reliability and safety evaluation of a pressurized steam trap; Reliability and availability analysis of a standby system with activation time and varying demand; Fuzzy attack tree analysis of security threat assessment in an internet security system using algebraic t-norm and t-conorm; A new flexible extension to a lifetime distributions, properties, inference, and applications in engineering science; Markov and semi-Markov models in system reliability; Emerging trends and future directions in software reliability growth modeling; Reliability and profit analysis of a Markov model having cost-free warranty with waiting repair facility; Semi-Markov modeling applications in system availability analysis; A a-cut interval-based similarity aggregation method to evaluate fault tree events for system safety under fuzzy environment; Business analytics to advance industrial safety management; Risk assessment and management of fire-induced domino effects in chemical industrial park; Stability assessment using Bayesian network control for inverters in smart grid.