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Background
The accelerating stress for an electronic component is temperature.
To meet the specified reliability requirement, the manufacturer is required to demonstrate with 90% confidence that 90% of the units will
continue to operate for 1000 hours under normal use conditions of 300K.
To save time and money, the manufacturer develops an accelerated life
test designed to provide the desired reliability results in a shorter
period of time than would be possible with a test performed under normal
stress conditions.
Experiment
and Data
A
sample of units are put to an accelerated life test with three
different stress levels: 353K, 373K and 393K. The time-to-failure and
time-to-suspension data obtained during this test are presented in
Table 1.
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Table 1
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Stress Level
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Observed Failures (hr)
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Observed Suspensions (hr)
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353K
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245
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250, 250, 250, 250, 250
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373K
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110, 180, 200
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250, 250, 250
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393K
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50, 70, 88, 112, 140, 160
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This information can be used to determine the following:
a) What is the activation energy?
b) Is the B(10) life of 1000 hrs at a 90% lower 1-sided confidence for the
use stress level (300K) demonstrated by the test?
c) Plot the acceleration factor vs. stress for this accelerated life
test.
d) Assuming that 1,000 units will be sold each month, determine the
expected number of failures over the next six months so that an
appropriate stock of spare parts can be kept on hand. Analysis
Step 1: Using ALTA 7 or ALTA 7 PRO, the analyst creates a
Standard Folio for time-to-failure and time-to-suspension data with one
stress column for temperature (in Kelvin, K), with a use stress level of
300K. The data set is analyzed in ALTA using a
combination of the Arrhenius model and the Weibull distribution. The
results are displayed in Figure 1.
Activation Energy: Notice that the
Activation Energy (Ea) appears in the Results area. For this example, the
Activation Energy = 0.4653.
Step 2: Once the parameters for
the data with an underlying life distribution and a life-stress
relationship are calculated, a variety of plots,
results and reports can be obtained. ALTA 7 and ALTA 7 PRO provide the tools required to
determine the B(10) life and acceleration factor vs.
stress plot results required.
B(10) Life :
The B(10) life
demonstrated at the 90% lower 1-sided confidence is found to be 1161, well above the
required 1000. The QCP can be used to calculate the B(10) life with the
specified confidence bounds, as shown in
Figure 2.
The B(10) life
can also be determined graphically, as shown in
Figure
3.
Acceleration Factor Plot: A
plot of the acceleration factor vs stress is shown in
Figure
4.
Expected Number of Failures: The
analyst creates a Report using the data from the calculated Standard
Folio and based on the Warranty Forecasts Template and makes the
following inputs:
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Use Stress Level (in the Analysis Information
area):
300
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Time Increment (in the Warranty Returns Forecasts
area): 720 (24 hours/day * 30 days/month = 720 hours/month)
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Future Sales values for Periods 1-5: 1000
The final report is shown in
Figure 5.
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