Enter your data for Warranty Prediction

Stat > Reliability/Survival > Warranty Analysis > Warranty Prediction

Transformed Warranty Data

Complete the following steps to enter your data. For more information on censored data, go to Data censoring.

  1. In Start time, enter the column that contains the start times for each interval. The time values in the column depend on how the data are censored.
    Observation Value in Start column
    Exact failure time Failure time
    Right censored The time the unit is known to have survived to
    Interval censored The time at the start of the interval during which the failure occurred
  2. In End time, enter the column that contains the end times for each interval. The time values in the column depend on how the data are censored.
    Observation Value in End column
    Exact failure time Failure time
    Right censored * (missing value symbol)
    Interval censored The time at the end of the interval during which the failure occurred
  3. If you have frequency data, in Frequency (optional), enter a column that indicates the number of units for each interval.
In this worksheet, the Start column contains the start times of each interval. The End column contains the end times of each interval. The Frequency column (optional) indicates the number of units that are included in each interval. For example, 2 units are exact failures at 30,000 hours. 26 units are interval censored between 30,000 and 40,000 hours. 190 units are right censored at 60,000 hours.
C1 C2 C3
Start End Frequency
0 10000 3
10000 20000 5
20000 30000 10
30000 30000 2
30000 40000 26
40000 50000 40
50000 60000 55
60000 * 190
Note

The same data could also be recorded in the worksheet without a frequency column. In that case, each unit is recorded in a separate row of the worksheet. The number of rows for each interval equals the value in the frequency column. For example, the following worksheet shows how the first 8 rows would appear for these data without a frequency column. The first 3 rows contain each unit that has a start time of 0 and end time of 10,000 hours. The next 5 rows contain each unit that has a start time of 10,000 and end time of 20,000, and so on.

C1 C2
Start End
0 10000
0 10000
0 10000
10000 20000
10000 20000
10000 20000
10000 20000
10000 20000

Assumed distribution

Select a distribution to model your data. Base your decision on process knowledge or use probability plots to evaluate the model fit. For more information, go to Distribution fit for reliability analysis.

Warranty Assumptions

You can enter additional information to have Minitab evaluate the warranty data in relation to the time limits and the costs of the warranty.

Length of warranty: (optional)
Enter the length of the warranty for the system. The units of this time value must be the same as those used in the transformed warranty data. Minitab uses this value for the Predicted Number of Failures Plot.
Average cost per failure: (optional)
Enter the average cost of a failure. Minitab uses this value to create a Predicted Cost of Failures Plot.
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