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Reliability engineering, concerned with the ability of a system or component to perform its required functions under stated conditions for a specified time Human reliability in engineered systems; Reliability theory, as a theoretical concept, to explain biological aging and species longevity
Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability is defined as the probability that a product, system, or service will perform its intended function adequately for a specified period of time, OR will operate in a defined environment without failure. [1]
Inter-method reliability assesses the degree to which test scores are consistent when there is a variation in the methods or instruments used. This allows inter-rater reliability to be ruled out. This allows inter-rater reliability to be ruled out.
Reliability, availability and serviceability (RAS), also known as reliability, availability, and maintainability (RAM), is a computer hardware engineering term involving reliability engineering, high availability, and serviceability design. The phrase was originally used by IBM as a term to describe the robustness of their mainframe computers.
In reliability problems, the expected lifetime is called the mean time to failure, and the expected future lifetime is called the mean residual lifetime. As the probability of an individual surviving until age t or later is S ( t ), by definition, the expected number of survivors at age t out of an initial population of n newborns is n × S ( t ...
Reliability: Ability to perform a specific function and may be given as design reliability or operational reliability Availability : Ability to keep a functioning state in the given environment Maintainability : Ability to be timely and easily maintained (including servicing, inspection and check, repair and/or modification)
A variety of methods exist for human reliability analysis (HRA). [ 3 ] [ 4 ] Two general classes of methods are those based on probabilistic risk assessment (PRA) and those based on a cognitive theory of control .
Failure rate is the frequency with which any system or component fails, expressed in failures per unit of time. It thus depends on the system conditions, time interval, and total number of systems under study. [1]