Template:WebNotes/RGASimuMatic: Difference between revisions

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The SimuMatic utility generates calculated values of beta and lambda parameters, based on user specified input parameters of beta and lambda. SimuMatic essentially performs a number of Monte Carlo simulations based on user-defined required test time or failure termination settings, and then recalculates the beta and lambda parameters for each of the generated data sets. The number of times that the Monte Carlo data sets are generated and the parameters are re-calculated is also user defined. The final output presents the calculated values of beta and lambda, and allows for various types of analysis such as test planning and calculation of simulation bounds on reliability.
RGA's SimuMatic performs a number of Monte Carlo simulations based on user-defined required test time or failure termination settings, and then recalculates the beta and lambda parameters for each of the generated data sets. The number of times that the Monte Carlo data sets are generated and the parameters recalculated is also user-defined. The final output presents the calculated values of beta and lambda, it and allows for various types of analysis such as test planning and calculation of simulation bounds on reliability.
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| [http://help.synthesisplatform.net/rga9/monte_carlo_and_simumatic.htm the help file...]
| [http://help.synthesisplatform.net/rga9/index.htm#monte_carlo_and_simumatic.htm V9 Help] or [http://help.synthesisplatform.net/rga10/index.htm#monte_carlo_and_simumatic.htm V10 Help]
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| [http://reliawiki.com/index.php/RGA_SimuMatic_Articles related article(s)...]
| [http://www.weibull.com/hotwire/issue129/relbasics129.htm related article(s)...]
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| [ application example(s)...]
| [http://reliawiki.org/index.php/RGA_SimuMatic_Example application example(s)...]
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Latest revision as of 22:05, 23 April 2015

Webnotes-RGA.png
RGA's SimuMatic

RGA's SimuMatic performs a number of Monte Carlo simulations based on user-defined required test time or failure termination settings, and then recalculates the beta and lambda parameters for each of the generated data sets. The number of times that the Monte Carlo data sets are generated and the parameters recalculated is also user-defined. The final output presents the calculated values of beta and lambda, it and allows for various types of analysis such as test planning and calculation of simulation bounds on reliability.

Learn more from...

Helpblue.png V9 Help or V10 Help
Book blue.png the theory textbook...
Articleblue.png related article(s)...
Bulbblue.png application example(s)...











Docedit.png