Stress-Strength Interference - Revision history

Kate Racaza at 16:25, 28 September 2015

2015-09-28T16:25:40Z

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	This example ~~compares~~ the stress-strength interference results.		This example validates the stress-strength interference results in Weibull++.

Kate Racaza at 15:30, 13 June 2014

2014-06-13T15:30:40Z

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	The stress (load) is a lognormal distribution with Ln-Mean = 1.12 and Ln-Std = 0.243. The strength is a ~~three~~ parameter Weibull distribution with Beta = 1.69, Eta = 6.67, and Gamma = 3.2.		The stress (load) is a lognormal distribution with Ln-Mean = 1.12 and Ln-Std = 0.243. The strength is a 3-parameter Weibull distribution with Beta = 1.69, Eta = 6.67, and Gamma = 3.2.

Kate Racaza: Created page with '{{Reference Example}} This example compares the stress-strength interference results. {{Reference_Example_Heading1}} The data set is from Example 5.3 on page 129 in the book…'

2014-06-06T19:26:00Z

Created page with '{{Reference Example}} This example compares the stress-strength interference results. {{Reference_Example_Heading1}} The data set is from Example 5.3 on page 129 in the book…'

New page

{{Reference Example}}

This example compares the stress-strength interference results.

{{Reference_Example_Heading1}}

The data set is from Example 5.3 on page 129 in the book ''Practical Reliability Engineering'' by O’Connor and Kleyner, Wiley, 2012.

{{Reference_Example_Heading2}}

The stress (load) is a lognormal distribution with Ln-Mean = 1.12 and Ln-Std = 0.243. The strength is a three parameter Weibull distribution with Beta = 1.69, Eta = 6.67, and Gamma = 3.2.

{{Reference_Example_Heading3}}

The book used simulation to get the result. The probability of failure is 1.2%.

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In Weibull++, the probability of failure is 1.188%, as shown below.

[[Image:SS_interference_plot.png|center|700px]]