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Inspection Interval Optimization

Inspection Interval Optimization

(OP)
Would anyone be able to help, using Excelt, to calculate an inspection interval optimized to catch a certain percentage (95% in this case) of failures?

Below is a small portion of my data set, but for example if I have failures occurring at the cycles listed below, how do I calculate the inspection interval that would give me 95% confidence or allow only 5% of failures to go unpredicted? In this case cost isn't a factor, only preventing the interruption.

Cycles at which a failure occured:
49
273
574
854
1077
1354
1704
2009
2075
2221
2331
2428
2519
2571
2633
2777
2915
3016
3080
3374
4286

Thanks in advance, please let me know if I can provide any more info

RE: Inspection Interval Optimization

RE: Inspection Interval Optimization

(OP)
Thanks for the replies. I have a Weibull calculator that I use for setting a hard/soft time limits. In this case we want to calculate how often we should inspect a seal, that can be repaired on wing rather than replaced, any thoughts or similar experience? Thanks again, I look forward to learning from your experience.

RE: Inspection Interval Optimization

(OP)
Yes, there are low cycle failures, but in this case they are repairable and are not limiting the life of the part.

RE: Inspection Interval Optimization

You have only given failure statistics.
From which I deduce that,
5% of the items fail within 1700 cycles 95% last longer than 1700 cycles.
10% of the items fail within 2000 cycles
67% of the items fail within 2600 cycles
90% of the items fail within 3000 cycles

If you test every item for 1700 cycles you can be reasonably sure that you've caught enough failures that 95% will last longer than that.

Now it appears that only 50% of those that didn't fail during the test will last for up to 3000 cycles. Problem is that you've already expended a little more than 50% of that life cycle in testing. Not a very reliable product once past that testing phase.

However if you establish that the lifetime is 1500 cycles,it seems that 90% of all items will last that long.

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