To use growth curves with exact data, you may enter the following information:
This data set illustrates exact data.
Time |
System |
Retirement |
Frequency (or Cost) |
1 |
1 |
1 |
2 |
5 |
1 |
1 |
4 |
9 |
1 |
0 |
0 |
4 |
2 |
1 |
2 |
7 |
2 |
1 |
4 |
10 |
2 |
0 |
0 |
8 |
3 |
1 |
2 |
9 |
3 |
1 |
4 |
11 |
3 |
0 |
0 |
Note |
Retirement times must have a value of 0 in the corresponding frequency column. |
Repairable systems data can consist of:
If the systems in the example above are failure-truncated, system 1 was retired following the failure at 9 hours.
If the systems in the example above are time-truncated and no retirement column is given, system 1 was retired at 9 hours.
The columns for each sample must be the same length, although pairs of columns from different samples can have different lengths. Use retirement columns if one group is time-truncated and another is failure-truncated.
In the example above, system 1 failed at the first and fifth hour and is retired at the ninth hour.
See Using time and retirement columns for more information about the relationship between your time column and retirement times.
When you have more than one sample, you can use separate columns for each sample. Alternatively, you can stack all the samples in one column, then set up a column of grouping indicators. For an illustration, see Stacked vs. Unstacked data.
Each sample is analyzed independently and results in one growth curve. All the samples display on a single plot, with different colors and symbols to help you compare reliability growth between samples.
For general information on repairable systems data, see Data - Growth Curves.