Common cause failures (ccf), Advanced Statistics

Common cause failures (CCF): Simultaneous failures of the number of components due to a same reason. A reason can be external to the components, or it can be the single failure which propagates to other components in the cascade. Even if such events are rare compared to the single failures of the component, they can dominate the system unreliability or unavailability. A number of models for predicting CCFs have been recommended.

Posted Date: 7/26/2012 6:47:32 AM | Location : United States







Related Discussions:- Common cause failures (ccf), Assignment Help, Ask Question on Common cause failures (ccf), Get Answer, Expert's Help, Common cause failures (ccf) Discussions

Write discussion on Common cause failures (ccf)
Your posts are moderated
Related Questions
Knox's tests: These tests designed to detect any tendency for the patients with a particular disease to form the disease cluster in time and space. The tests are relied on a two-b

Probit analysis  is the technique most commonly employed in the bioassay, specifically toxicological experiments where the group of animals is subjected to known levels of a toxin


The scatter plot of SRES1 versus totexp demonstrates that there is non-linear relationship that exists as most of the points are below and above zero. The scatter plot show that th

how to constuct design matrix

moving and semi average method graphical reprsentation

The model which is applicable to the longitudinal data in which the dropout process might give rise to the informative lost values. Specifically if the study protocol specifies the

Cauchy integral : The integral of the function, f (x), from a to b are de?ned in terms of the sum   In the statistics this leads to the below shown inequality for the expecte

i need help for my assignment and the deadline is Friday

Hazard plotting  is based on the hazard function of a distribution, this procedure gives estimates of distribution parameters, the proportion of units failing by the given time per