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| In ALTA, the GLL model with Weibull distribution is used. Since temperature is the stress, the reciprocal transform is used. The results are: | | In ALTA, the GLL model with Weibull distribution is used. Since temperature is the stress, the reciprocal transform is used. The results are: |
| *The model parameters are: | | *The model parameters are: |
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| [[image:Temperature GLL Weibull_Analysis Summary.png|center]] | | [[image:Temperature GLL Weibull_Analysis Summary.png|center]] |
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Line 107: |
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| *The variances of the parameters are: | | *The variances of the parameters are: |
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| [[image:Temperature GLL Weibull_Var_Cov Results.png|center]] | | [[image:Temperature GLL Weibull_Var_Cov Results.png|center]] |
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| *The two-sided 90% confidence intervals for the model parameters are: | | *The two-sided 90% confidence intervals for the model parameters are: |
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| [[image:Temperature GLL Weibull_Parameter Bounds.png|center]] | | [[image:Temperature GLL Weibull_Parameter Bounds.png|center]] |
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| *The estimated B10 life and its two-sided 90% confidence intervals are: | | *The estimated B10 life and its two-sided 90% confidence intervals are: |
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| [[image:Temperature GLL Weibull_QPC B10 Life.png|center]] | | [[image:Temperature GLL Weibull_QPC B10 Life.png|center]] |
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| *The estimated reliability with its two-sided 90% confidence interval at 35°C and 10,000 hours are: | | *The estimated reliability with its two-sided 90% confidence interval at 35°C and 10,000 hours are: |
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| [[image:Temperature GLL Weibull_QPC Reliability.png|center]] | | [[image:Temperature GLL Weibull_QPC Reliability.png|center]] |
ALTA_Reference_Examples_Banner.png
This example validates the calculation of GLL relationship for Weibull distribution.
Reference Case
The data set is from Example 7.14 on page 297 in book Life Cycle Reliability Engineering by Dr. Guangbin Yang, John Wiley & Sons, 2007.
Data
The data is given below.
| State F/S
|
Time to State (Hr)
|
Temperature (°C)
|
Group ID
|
| F |
1138 |
100 |
1
|
| F |
1944 |
100 |
1
|
| F |
2764 |
100 |
1
|
| F |
2846 |
100 |
1
|
| F |
3246 |
100 |
1
|
| F |
3803 |
100 |
1
|
| F |
5046 |
100 |
1
|
| F |
5139 |
100 |
1
|
| S |
5500 |
100 |
1
|
| S |
5500 |
100 |
1
|
| S |
5500 |
100 |
1
|
| S |
5500 |
100 |
1
|
| F |
1121 |
120 |
2
|
| F |
1572 |
120 |
2
|
| F |
2329 |
120 |
2
|
| F |
2573 |
120 |
2
|
| F |
2702 |
120 |
2
|
| F |
3702 |
120 |
2
|
| F |
4277 |
120 |
2
|
| S |
4500 |
120 |
2
|
| F |
420 |
150 |
3
|
| F |
650 |
150 |
3
|
| F |
703 |
150 |
3
|
| F |
838 |
150 |
3
|
| F |
1086 |
150 |
3
|
| F |
1125 |
150 |
3
|
| F |
1387 |
150 |
3
|
| F |
1673 |
150 |
3
|
| F |
1896 |
150 |
3
|
| F |
2037 |
150 |
3
|
Result
The model used in the book is:
- [math]\displaystyle{ \,\!ln\left ( \eta \right )=\alpha _{0}+\alpha _{1}\frac{1}{T} }[/math]
The book has the following results:
- The model parameters are: [math]\displaystyle{ \,\!\alpha _{0}=-3.156 }[/math] , [math]\displaystyle{ \,\!\alpha _{1}=4390 }[/math] and [math]\displaystyle{ \,\!\beta =2.27 }[/math].
- The variance of each parameter is: [math]\displaystyle{ \,\!Var\left ( \alpha _{0} \right )=3.08 }[/math] , [math]\displaystyle{ \,\!Var\left ( \alpha _{1} \right )=484,819.5 }[/math] and [math]\displaystyle{ \,\!Var\left ( \beta\right )=0.1396 }[/math] .
- The two-sided 90% confidence intervals for the model parameters are: [math]\displaystyle{ \,\!\left [ \alpha _{0,L},\alpha _{0,U} \right ]=\left [ -6.044,-0.269 \right ] }[/math] , [math]\displaystyle{ \,\!\left [ \alpha _{1,L},\alpha _{1,U} \right ]=\left [ 3244.8,5535.3 \right ] }[/math] and [math]\displaystyle{ \,\!\left [ \beta _{1,L},\beta _{1,U} \right ]=\left [ 1.73,2.97 \right ] }[/math] .
- The estimated B10 life at temperature of 35°C is 24,286 hours. The two-sided 90% confidence interval is [10,371, 56,867].
- The estimated reliability at 35°C and 10,000 hours is [math]\displaystyle{ \,\!R\left ( 10,000 \right )=0.9860 }[/math] . The two-sided 90% confidence interval is [0.892, 0.998].
Results in ALTA
In ALTA, the GLL model with Weibull distribution is used. Since temperature is the stress, the reciprocal transform is used. The results are:
- The model parameters are:
- The variances of the parameters are:
- The two-sided 90% confidence intervals for the model parameters are:
- The estimated B10 life and its two-sided 90% confidence intervals are:
- The estimated reliability with its two-sided 90% confidence interval at 35°C and 10,000 hours are:
