Grouped Data - Crow Extended Example

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This example appears in the Reliability Growth and Repairable System Analysis Reference.


A reliability growth test was conducted for 200 hours. Some of the corrective actions were applied during the test while others were delayed until after the test was completed. The tables below give the data set and the effectiveness factors for the BD modes. Do the following:

  1. Estimate the parameters of the Crow Extended model.
  2. Determine the average effectiveness factor of the BC modes using the Function Wizard.
  3. What percent of the failure intensity will be left in the system due to the BD modes after implementing the delayed fixes?
Grouped Failure Times Data
Number at Event Time to Event Classification Mode
3 25 BC 1
1 25 BD 9
1 25 BC 2
1 50 BD 10
1 50 BD 11
1 75 BD 12
1 75 BC 3
2 75 BD 13
1 75 A
1 100 BC 4
1 100 BD 14
1 125 BD 15
1 125 A
1 125 A
1 125 BC 5
1 125 BD 10
1 125 BC 6
1 150 A
1 150 BD 16
1 175 BC 4
1 175 BC 8
1 175 A
1 175 BC 7
1 200 BD 16
1 200 BC 3
1 200 BD 17
Effectiveness Factors
BD Mode Effectiveness Factor
9 0.75
10 0.5
11 0.9
12 0.6
13 0.8
14 0.8
15 0.25
16 0.75
17 0.8

Solution

  1. The next figure shows the estimated parameters of the Crow Extended model.
  2. Insert a general spreadsheet into the folio, and then access the Function Wizard. In the Function Wizard, select Average Effectiveness Factor from the list of available functions and under Avg. Eff. Factor select BC modes, as shown next. Click Insert and the result will be inserted into the general spreadsheet. The average effectiveness factor for the BC modes is 0.6983.
  3. The failure intensity left in the system due to the BD modes can be determined using the Failure Mode Strategy plot, as shown next. Therefore, the failure intensity left in the system due to the BD modes is 1.79%.   
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