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Algorithm GENITOR
Algorithm GENITOR

... suggested for solving this problem. In all the mentioned works, only the systems with M=N are considered in which only one ME is located in each position. In many cases, even for M=N, greater reliability can be achieved if some of MEs are gathered in the same position providing redundancy (in hot st ...
mori
mori

... methods. These methods provide basic tools for evaluating structural safety quantitatively. Uncertainties in loads, material properties, and construction practice, which have been traditionally dealt with by empirical safety factors, can be taken into account explicitly and consistently in probabili ...
Presentation at GE
Presentation at GE

... stabilizes to the steady-state value ...
Thiago T
Thiago T

... systems, mechanical systems, flight software, etc.). 3) Established and maintained collaborative interface with civil servants in order to collect reliability and design data. 4) Presented reliability related deliverables informally and formally to civil servants (i.e. at mission Preliminary Design ...
TMG Labs * Open RCG Reqs.
TMG Labs * Open RCG Reqs.

1

Reliability engineering

Reliability engineering is engineering that emphasizes dependability in the lifecycle management of a product. Dependability, or reliability, describes the ability of a system or component to function under stated conditions for a specified period of time. Reliability may also describe the ability to function at a specified moment or interval of time (Availability). Reliability engineering represents a sub-discipline within systems engineering. Reliability is theoretically defined as the probability of success (Reliability=1-Probability of Failure), as the frequency of failures; or in terms of availability, as a probability derived from reliability, testability and maintainability. Testability, Maintainability and maintenance are often defined as a part of ""reliability engineering"" in Reliability Programs. Reliability plays a key role in the cost-effectiveness of systems.Reliability engineering deals with the estimation, prevention and management of high levels of ""lifetime"" engineering uncertainty and risks of failure. Although stochastic parameters define and affect reliability, according to some expert authors on Reliability Engineering (e.g. P. O'Conner, J. Moubray and A. Barnard,), reliability is not (solely) achieved by mathematics and statistics. You cannot really find a root cause (needed to effectively prevent failures) by only looking at statistics. ""Nearly all teaching and literature on the subject emphasize these aspects, and ignore the reality that the ranges of uncertainty involved largely invalidate quantitative methods for prediction and measurement."" Reliability engineering relates closely to safety engineering and to system safety, in that they use common methods for their analysis and may require input from each other. Reliability engineering focuses on costs of failure caused by system downtime, cost of spares, repair equipment, personnel, and cost of warranty claims. Safety engineering normally emphasizes not cost, but preserving life and nature, and therefore deals only with particular dangerous system-failure modes. High reliability (safety factor) levels also result from good engineering and from attention to detail, and almost never from only reactive failure management (reliability accounting / statistics).A former United States Secretary of Defense, economist James R. Schlesinger, once stated: ""Reliability is, after all, engineering in its most practical form.""
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