Monte Carlo Simulation Example

From ReliaWiki
Revision as of 07:00, 30 July 2012 by Kate Racaza (talk | contribs) (updated example)
Jump to navigation Jump to search
Weibull Examples Banner.png


New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images and more targeted search.

As of January 2024, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest references at Weibull examples and Weibull reference examples.




A variation of this example appears in the Weibull++/ALTA Help file.


Monte Carlo Simulation: A Hinge Length Example

A hinge is made up of four components A, B, C, D, as shown next. Seven units of each component were taken from the assembly line and measurements (in cm) were recorded.


WB.23 lda26.1.png


The following table shows the measurements. Determine the probability that D will fall out of specifications.


[math]\displaystyle{ \begin{matrix} \text{Dimensions for A} & \text{Dimensions for B} & \text{Dimensions for C} & \text{Dimensions for D} \\ \text{2}\text{.0187} & \text{1}\text{.9795} & \text{30}\text{.4216} & \text{33}\text{.6573} \\ \text{1}\text{.9996} & \text{2}\text{.0288} & \text{29}\text{.9818} & \text{34}\text{.5432} \\ \text{2}\text{.0167} & \text{1}\text{.9883} & \text{29}\text{.9724} & \text{34}\text{.6218} \\ \text{2}\text{.0329} & \text{2}\text{.0327} & \text{30}\text{.192} & \text{34}\text{.7538} \\ \text{2}\text{.0233} & \text{2}\text{.0119} & \text{29}\text{.9421} & \text{35}\text{.1508} \\ \text{2}\text{.0273} & \text{2}\text{.0354} & \text{30}\text{.1343} & \text{35}\text{.2666} \\ \text{1}\text{.984} & \text{1}\text{.9908} & \text{30}\text{.0423} & \text{35}\text{.7111} \\ \end{matrix} }[/math]


Solution

In a Weibull++ standard folio, enter the parts dimensions measurements of each component into a separate data sheets. Analyze each data sheet using the normal distribution and the RRX analysis method. The parameters are:


[math]\displaystyle{ \begin{matrix} \text{A} & \text{B} & \text{C} & \text{D} \\ \hat{\mu }=2.0146 & \hat{\mu }=2.0096 & \hat{\mu }=30.0981 & \hat{\mu }=34.8149 \\ \hat{\sigma }=0.0181 & \hat{\sigma }=0.0249 & \hat{\sigma }=0.1762 & \hat{\sigma }=0.7121 \\ \end{matrix} }[/math]


Next, perform a Monte Carlo simulation to estimate the probability that (A+B+C) will be greater than D. To do this, choose the User Defined distribution and enter its equation as follows. (Click the Insert Data Source button to insert the data sheets that contain the measurements for the components.)


Rsik Analysis Example Monte Carlo Setting.png


On the Setting tab, set the number of data points to 100, as shown next.


Rsik Analysis Example Monte Carlo Number of Points.png


Click Generate to create a data sheet that contains the generated data points. Rename the new data sheet to "Simulated (A+B+C)."

Follow the same procedure to generate 100 data points to represent the D measurements. Rename the new data sheet to "Simulated D."


Rsik Analysis Example Monte Carlo D.png


Analyze the two data sets, "Simulated (A+B+C)" and "Simulated D," using the normal distribution and the RRX analysis method.

Next, open the Life Comparison tool and choose to compare the two data sheets. The following picture shows the pdf curves of the two data sets.


Rsik Analysis Example Selected Life Comparison Plot.png


The following report shows that the probability that (A+B+C) will be greater than D is 16.033%. (Note that the results may vary because of the randomness in the simulation.)


Rsik Analysis Example Selected Life Comparison Result.png