1.
Open the Fan.jmp sample data table, located in the Reliability folder.
2.
Select Analyze > Reliability and Survival > Survival.
3.
Select Time and click Y, Time to Event.
4.
Select Censor and click Censor.
5.
Select the check box for Plot Failure instead of Survival.
6.
Fan Initial Output
Weibull Output for Fan Data
Fitted Distribution Plots
1.
Open the Appliance.jmp sample data table, located in the Reliability folder.
2.
Select Analyze > Reliability and Survival > Survival.
3.
Select Time Cycles and click Y, Time to Event.
4.
6.
Click Cause Code, and click OK.
Competing Causes Report and Hazard Plot
Fit Y by X Plot of Time Cycles by Cause Code shows the Fit Y by X plot of Time Cycles by Cause Code with the Quantiles option in effect. This plot further illustrates how the alphas and betas relate to the failure distribution.
Fit Y by X Plot of Time Cycles by Cause Code
Survival Plots with Omitted Causes shows the survival plots with all competing causes and without cause 9. You can see that the survival rate (represented by the dashed line) without cause 9 does not improve much until 2,000 cycles, but then becomes much better and remains improved, even after 10,000 cycles.
Survival Plots with Omitted Causes
1.
Open the Microprocessor Data.jmp sample data table, located in the Reliability folder.
2.
Select Analyze > Reliability and Survival > Survival.
3.
Select start time and end time and click Y, Time to Event.
4.
Select count and click Freq.
5.
Select the check box next to Plot Failure instead of Survival.
6.
Interval Censoring Output