Аннотация:
Electronic Journal Reliability: Theory & Applications (ISSN 1932-2321) has been published by Gnedenko Forum since January 2006. The Journal covers various areas of risk analysis (reliability, safety, security, survivability, antiterrorism defensive ability, quality control, reliability testing, queuing models, and other related topics). Reliability: Theory & Applications (ISSN 1932-2321) is a peer-reviewed journal for researchers and practitioners who are involved in risk analysis and reliability engineering. The Journal will publish high-quality papers covering foundational, theoretical, methodological, and practical issues relevant for the safe and reliable design and operation of engineering systems from any industrial sector.
Important aspects include:
- Systems reliability assessment (including Hazard analysis, Failure analysis, Reliability modeling and analysis, Maintainability analysis, Maintenance modeling, planning, scheduling and optimization, Repairable systems analysis, Availability modeling and analysis, Physics of failure, Reliability test planning/Reliability assurance programs);
- Accelerated tests modeling and statistical analysis (including degradation and life tests modeling);
- Operations research (including Queuing modeling and analysis, Stochastic networks, Financial and Insurance mathematics, Service system reliability, Integrated logistics modeling and support, Optimization methods);
- Risk analysis methods (including Application of risk and reliability analyses in Engineering, Resilience analysis and engineering, Security and Vulnerability, Critical infrastructure vulnerability assessment and safety, Meta-models for risk and reliability analysis);
- Human health and reliability (including Systems health monitoring, Degradation modeling, Fault diagnostics, Fault prognostics, Life cycle costs);
- Uncertainty and sensitivity analysis (including Expert judgments;
- Software production (including in reliability, insurance and finance, Safety critical software;
- Big data collection and analysis (including Reliability data, Accident analysis/Incident reporting);
- Advanced simulation techniques for risk and reliability analysis