Tech Note

Vishay Semiconductors
Reliability
The requirements concerning quality and reliability of
products are always increasing. It is not sufficient to
only deliver fault–free parts. In addition, it must be
ensured that the delivered goods serve their purpose
safely and failure free, i.e. reliably. From the delivery
of the device up to its use in a final product, there are
some occasions where the device or the final product
may fail despite testing and outgoing inspection.
In principle, this sequence is valid for all components
of a product.
For these reasons, the negative consequences of a
failure, which become more serious and expensive the
later they occur, are obvious. The manufacturer is
therefore interested in supplying products with the lowest possible
D AOQ (Average Outgoing Quality) value
D EFR (Early Failure Rate) value
D LFR (Long-term Failure Rate) value
Average Outgoing Quality (AOQ)
Long-Term Failure Rate (LFR)
LFR shows the failure rate during the operational
period of the devices. This period is of particular
interest to the manufacturer of the final product. Based
on the LFR value, estimations concerning long-term
failure rate, reliability and a device’s or module’s usage
life may be derived. The usage life time is normally the
period of constant failure rate. All failures occuring
during this period are random.
Within this period the failure rate is:
l+
S
Sum of failures
1
hours
(Quantity
Time to failure)
The measure of l is FIT (Failures In Time = number of
failures in 109 device hours).
Example
A sample of 500 semiconductor devices is tested in a
operating life test (dynamic electric operation). The
devices operate for a period of 10,000 hours.
Failures:
1 failure after 1000 h
1 failure after 2000 h
All outgoing products are sampled after 100% testing.
This is known as “Average Outgoing Quality” (AOQ).
The results of this inspection are recorded in ppm
(parts per million) using the method defined in
JEDEC 16.
The failure rate may be calculated from this sample by
Early Failure Rate (EFR)
l+
EFR is an estimate (in ppm) of the number of early
failures related to the number of devices used. Early
failures are normally those which occur within the first
300 to 1000 hours. Essentially, this period of time
covers the guarantee period of the finished unit. Low
EFR values are therefore very important to the device
user. The early life failure rate is heavily influenced by
complexity. Consequently, ‘designing-in’ of better
quality during the development and design phase, as
well as optimized process control during
manufacturing, significantly reduces the EFR value.
Normally, the early failure rate should not be
significantly higher than the random failure rate. EFR
is given in ppm (parts per million).
Document Number 80116
02-02
l+
1000 ) 1
1
2
2000 ) 498
2
1 + 4.01
4983000 h
1
10000 h
10–7 1
h
This is a l-value of 400 FIT, or this sample has a failure
rate of 0.04% / 1000 h on average.
l
Early Failures
EFR
Operating Period
LFR
Wear Out
Failures
t
95 11401
Figure 4. Bath tub curve
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Confidence Level
The failure rate l calculated from the sample is an
estimate of the unknown failure rate of the lot.
The interval of the failure rate (confidence interval)
may be calculated, depending on the confidence level
and sample size.
The following is valid:
D The larger the sample size, the narrower the
confidence interval.
D The lower the confidence level of the statement,
the narrower the confidence interval.
The confidence level applicable to the failure rate of
the whole lot when using the estimated value of l is
derived from the k2-distribution. In practice, only the
upper limit of the confidence interval (the maximum
average failure rate) is used.
Therefore:
l max +
k2ń2 (r; P A)
in 1
n
t
h
LFR +
k 2ń2 (r; PA)
n
t
1
r:
Number of failures
PA:
Confidence level
n:
Sample size
t:
Time in hours
n
t: Device hours
10 9 in [FIT]
10 –7 1
h
This means that the failure rate of the lot does not
exceed 0.0618% / 1000 h (618 FIT) with a probability
of 60%.
If a confidence level of 90% is chosen from the
table 15 :
k2/2 (r = 2; PA = 90%) = 5.3
l max +
5.3
+ 1.06
4983000
Document Number 80116
02-02
Number of
Failures
0
1
2
3
4
5
6
7
8
9
10
Confidence Level
50%
0.60
1.68
2.67
3.67
4.67
5.67
6.67
7.67
8.67
9.67
10.67
60%
0.93
2.00
3.08
4.17
5.24
6.25
7.27
8.33
9.35
10.42
11.42
90%
2.31
3.89
5.30
6.70
8.00
9.25
10.55
11.75
13.00
14.20
15.40
95%
2.96
4.67
6.21
7.69
9.09
10.42
11.76
13.16
14.30
15.63
16.95
Operating Life Tests
Number of devices tested:
n = 50
Number of failures
(positive qualification):
c = 0
Test time:
t = 2000 hours
PA = 60%
k2/2 (0; 60%) = 0.93
For the above example from table 15:
k2/2 (r=2; PA = 60%) = 3.08
n
t = 4983000 h
3.08
+ 6.18
4983000
Table 15.
Confidence level:
The k2/2 for l are taken from table 15.
l max +
This means that the failure rate of the lot does not
exceed 0.106% / 1000 h (1060 FIT) with a probability
of 90%.
10 –6 1
h
l max +
50
0.93
+ 9.3
2000
10–6 1
h
This means, that the failure rate of the lot does not
exceed 0.93% / 1000 h (9300 FIT) with a probability
of 60%.
This example demonstrates that it is only possible to
verify LFR values of 9300 FIT with a confidence level
of 60% in a normal qualification tests
(50 devices, 2000 h).
To obtain LFR values which meet today’s
requirements (t50 FIT), the following conditions have
to be fulfilled:
D Very long test periods
D Large quantities of devices
D Accelerated testing (e.g. higher temperature)
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Mean Time to Failure (MTTF)
For systems which can not be repaired and whose
devices must be changed, e.g. semiconductors, the
following is valid:
Power dissipation of the device
PV = 100 mW
MTTF + 1
l
MTTF is the average fault-free operating period per a
monitored (time) unit.
Thermal resistance junction/environment
RthJA = 300 K/W
Accelerating Stress Tests
The system temperature / junction temperature results
from:
Innovation cycles in the field of semiconductors are
becoming shorter and shorter. This means that
products must be brought to the market quicker. At the
same time, expectations concerning the quality and
reliability of the products have become higher.
Manufacturers of semiconductors must therefore
assure long operating periods with high reliability but
in a short time. Sample stress testing is the most
commonly used way of assuring this.
The rule of Arrhenius describes this temperaturedependent change of the failure rate.
ƪ ǒ
e
E
A
k
l(T 2) + l(T 1)
1
1
–
T1 T2
Ǔƫ
TJ = TA + RthJA
TJ = 70°C + 300 K/W
Operation in the field at an ambient temperature of
50°C and at an average power dissipation of 80 mW
is utilized. This results in a junction temperature in
operation of TJ = 74°C. The activation energy used for
opto components is EA = 0.8 eV.
The resulting acceleration factor is:
AF +
Junction temperature real operation
T1 in Kelvin
Junction temperature stress test
T2 in Kelvin
Failure rate real operation
l (T1)
Failure rate stress test
l (T2)
ƪ ǒ
E
A
k
1
1
–
T1 T2
Ǔƫ
Example
The following conditions apply to an operating life
stress test:
Environmental temperature during stress test
TA = 70°C
Document Number 80116
02-02
l(373K)
+e
l(347K)
ƪ
E
A
k
1
1 Ǔ
ǒ347K
–
ƫ
373K
AF [ 6.5
This signifies that, regarding this example, the failure
rate is lower by a factor of 6.5 compared to the stress
test.
Other accelerating stress tests may be:
The acceleration factor is described by the exponential
function as being:
l(T 2)
AF +
+e
l(T 1)
100 mW
TJ = 100°C
Boltzmann’s constant
k = 8.63
10–5 eV/K
Activation energy
EA in eV
PV
D Humidity (except displays type TDS.)
TA = 85°C
RH = 85%
D Temperature cycling
Temperature interval as specified
The tests are carried out according to the
requirements of appropriate IEC–standards (see also
chapter ‘Qualification and Release’).
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Activation Energy
Degradation of IREDs
There are some conditions which need to be fulfilled in
order to use Arrhenius’ method:
The diagrams in figure 6 and figure 7 are based on
electrical life tests, calculated with Ea = 0.8 eV at
Tj = 25°C.
D The validity of Arrhenius’ rule has to be verified.
D ‘Failure-specific’ activation energies must be
determined.
Values often used for different device groups are:
Opto components 0.8 eV
Bipolar ICs
0.7 eV
MOS ICs
0.6 eV
Transistors
0.7 eV
Diodes
0.7 eV
By using this method, it is possible to provide
long–term predictions for the actual operation of
semiconductors even with relatively short test periods.
IF=50mA
8
Degradation ( % )
These conditions may be verified by a series of tests.
Today, this procedure is generally accepted and used
as a basis for estimating operating life. The values of
activation energies can be determined by experiments
for different failure mechanisms.
10
6
4
2
0
103
104
105
Time (h)
94 8169
Figure 6. Average degradation of TSUS 5.
20
1000
IF=50mA
0.8 eV
0.6 eV
100
0.5 eV
15
Degradation ( % )
Acceleration factor
0.7 eV
10
10
5
100
1
55
125
75
95
115
135
Junction Temperature (°C)
0
103
150
155
105
Time (h)
95 11369
Figure 5. Acceleration factor for different activation
energies normalized to Tj = 55°C
Document Number 80116
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94 8170
104
Figure 7. Average degradation of TSHA 5.
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