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The results reveal the importance of realistic system modeling and time effects in the quantification of reliability, redundancy and risk.
Contrarily to the QSAR model whose output is ultimately qualitative (an instance is assigned to the class of highest probability), we use the actual value of the probability towards the quantification of reliability.
As distinct to related approaches, which typically stay with quantification of reliability for a specific deployment, we target multi-criteria optimization and provide the architect with near-optimal (non-dominated) deployment alternatives with respect to service reliabilities.
Key technical issues include: the quantification of reliability over a wide range of conditions: economics, speed of action, plant ageing, demonstration of technical feasibility, in-service testing, ease of maintenance and minimization of personnel radiation exposure.
We propose in this paper an overall ten-step methodology dedicated to the analysis and quantification of reliability during the design phase of a mechatronic system, considered as a complex system.
Prior to quantification of reliability and estimation of error rates, we tentatively assigned reliability if 3 out of 4 replicate PCRs produced the same results.
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This paper proposes the Progressive Reliability Method (PRM) for the quantification of the reliability of complex systems.
In practice, however, precise knowledge of the properties of the geological formations is elusive, and quantification of the reliability of a deterministic approach is crucial for evaluating the technical and economical feasibility of the design.
In fact, end-users found modern hydrological models an attractive option, but at the same time recognized that significant progress in engineering would only be achieved if those models were coupled with an improved quantification of their reliability.
Due to the relatively slow progress in the field of quantification of human reliability, there is a need to advance this area of research and provide techniques that are useful in human error quantification and that can be embedded in the main framework of quantitative risk assessments.
We pursue this goal by exemplifying: a model of relationship between attack and intrusion, allowing such quantification; and variations of reliability and availability brought upon by different attack models, replication configurations and rejuvenation strategies.
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