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Engineering Success with Reliable Products.
If you have a question, you can comment to this post.
Call Us: (408) 654-0499, x204
Email Us: info@OPSaLaCarte.com
Address: 990 Richard Ave, Suite 101, Santa Clara, CA 95050
Hi all,
Good afternoon
May I know is there a formula or model that relates Stepper Motor temperature and its lifetime ?
Thank you very much.
Vincent
hi,
Everybody!
can it possible to simulate EM Radaitions in HALT process, i feel it will detect more failures.
EM STress combined with Vibration and temperature/himidity will be the Most Severe condition.
I just thought that becoz i do Reliabilty as well as EMI/EMC.
it is just a idea for future HALT TechniQues….
please tell can it be possibile in a Single Equipment.
Hello Manish –
When you say “more failures” are you referring to EMI failures or “HALT type” failures which would limit the usable life of the test item?
EMI tests look for either susceptibility of the test item to externally generated EMI, or emitted EMI from the test item. In either case it is unlikely those tests could be performed accurately in a HALT facility
Hi all,
We have been doing design reliablity testing for sometime now. We’re using a software tool from ReliaSoft that works well in designing the test and analizing the results. A major problem within our wall is selecting a reliability level to be achieved and the applied confidence bounds that should be used for our product / industry. Does anyone know of a resource that could help in providing a bench mark for reliability? Idealy a list of industries and the reliability levels typically applied. Or, a define method / tool that would assist us to determine our reliability requirements from within.
How is the time determined from long term ALT results at which the wear-out distribution kicks in. That is, we assume we have units operating in the useful life period with random failures and a given probability of failure (MTBF) for some time, then at some point the wear-out period begins with its own modeling parameters. I know theoretically that it’s where h(t) inflects upwards, but how do you distinguish the random failures from the wear-out type failures from the results and separate the two distributions, I guess is my question.
Thanks!