PRISM Forum - Message Replies
Topic: PRISM Questions and Answers
Topic Posted by: SRC
(src_forum@alionscience.com
)
Organization: SRC
Date Posted: Wed Jan 12 8:33:33 US/Eastern 2000
Topic Description: Welcome to the PRISM forum! Please feel free to post your questions and comments about the PRISM assessment software here.
Original Message:
Posted by: George Pyryt
(gpyryt@draper.com
)
Organization:Draper Lab
Date posted: Fri Jun 9 15:58:04 US/Eastern 2000
Subject: Non-op electrical overstress factor
Message: During the calculation of failure rates, Prism includes a serperate term for electrical overstress failure rate for all models. If I am trying to calculate the failure rate during storage over a long period of time, I do not think the electrical overstress should be that large of a factor. Is there a suggested factor or approach that I could use to reduce the part failure rate by when evaluating storage reliability. The failure rate Prism gives for a given resistor for example can be 2 orders of magnitude larger than if using the Mil-Std-217 data reduced by a factor of .01 for storage. The Prism failure rate I used included your previous suggestion of using 0 degree temperature rise for each component and 0% duty time.
Reply:
David Dylis
Subject: Non-op electrical overstress/ESD factor
Reply Posted by: (ddylis@alionscience.com
)
Organization: Reliability Analysis Center (RAC)
Date Posted: Wed Jun 14 7:29:53 US/Eastern 2000
Message: To calculate the failure rate during storage of a resistor, the analysis of each
component must incorporate a 0 degree temperature rise and 0% duty cycle. Dormant failure
rates were calculated for varying types of resistors using PRISM, RADC-TR-85-91 (Impact of
Nonoperating Periods on Equipment Reliability) and MIL-HDBK-217F Notice 2 (Parts Count
method) modified by an operating to dormant adjustment factor from the Reliability
Toolkit: Commercial Practices Edition. Differences in predicted failure rates between
each method is highlighted below:
All Failures are in Failures/10^6 hours
Fixed, Carbon Composition (RC/RCR)
PRISM Failure Rate 0.002073
RADC-TR-85-91: 0.0001512
MIL-HDBK-217F Notice 2 (Adjusted): 0.00132
MIL-HDBK-217F Notice 2 (Not Adjusted): 0.0066
Fixed, Film (RN)
PRISM Failure Rate 0.001097
RADC-TR-85-91: 0.00024
MIL-HDBK-217F Notice 2 (Adjusted): 0.00222
MIL-HDBK-217F Notice 2 (Not Adjusted): 0.0111
Fixed, Network, Film (RZ)
PRISM Failure Rate 0.002494
RADC-TR-85-91: 0.001032
MIL-HDBK-217F Notice 2 (Adjusted): 0.00096
MIL-HDBK-217F Notice 2 (Not Adjusted): 0.0048
Fixed, Wirewound. Power (RW)
PRISM Failure Rate 0.001627
RADC-TR-85-91: 0.001368
MIL-HDBK-217F Notice 2 (Adjusted): 0.0039
MIL-HDBK-217F Notice 2 (Not Adjusted): 0.0195
Fixed, Thermistor (RTH)
PRISM Failure Rate 0.006747
RADC-TR-85-91: 0.00648
MIL-HDBK-217F Notice 2 (Adjusted): 0.00084
MIL-HDBK-217F Notice 2 (Not Adjusted): 0.0042
Variable, Wirewound (RT)
PRISM Failure Rate 0.012097
RADC-TR-85-91: 0.002376
MIL-HDBK-217F Notice 2 (Adjusted): 0.00144
MIL-HDBK-217F Notice 2 (Not Adjusted): 0.0072
Note: The PRISM results in this analysis do not take into account the PRISM System Level
Multipliers which could reduce (or increase) the PRISM calculated failure rate when
component are integrated into an assembly/system based on system processes used.
The following assumptions were made during these calculations:
Environment: Ground Benign (PRISM Defaults for Ground Stationary, Indoors)
Duty Cycle: 0% in PRISM
Temperature Rise: 0C in PRISM
MIL-HDBK-217 Adjustment factor: 0.2 from active to passive ground benign (Source: Reliability
Toolkit: Commercial Practices Edition, Reliability Analysis Center (RAC), pg. 178).
Note that factors vary between 0.03 and 1.0 based on environment of interest for resistors.
As seen by this analysis predicted dormant failure rates vary amongst part types and
method of prediction. PRISM is based on the RAC’s most recent data and modeling
development efforts while models developed in RADC-TR-85-91 and MIL-HDBK-217F Notice 2
were developed in 1985 and 1995 respectively. In fact, MIL-HDBK-217 was not developed
to predict dormant failure rates and an adjustment factor was developed and published in
the Reliability Toolkit as a means to develop a dormant failure rate estimate due to
lack of tools to properly estimate dormant failure rates.
PRISM has been developed to address the shortcomings of current reliability prediction
techniques with one of these shortcomings being the ability to predict dormant
failure rates. Models in PRISM have been developed to allow the user to predict
failure rates of a system based on its actual usage including dormancy. The
electrical overstress factor in the models addresses the probability of EOS/ESD
causing component failure. During the development of PRISM component models, it
was assumed that the EOS failure rate is independent of the duty cycle. The reason
for this assumption was that EOS is an externally applied stress and not a function of
power being applied. Parts in storage may still be affected by this factor due
to handling, etc
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