Reliability and MTTF, what's going on?

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Discussion Overview

The discussion revolves around the concepts of reliability and mean time to failure (MTTF) in the context of probability density functions (PDFs) related to system failures. Participants explore the mathematical relationships between reliability functions and MTTF, as well as address potential misunderstandings regarding the interpretation of mean values in PDFs.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions how MTTF can be finite if R(t) is a function that returns a number for a given t, suggesting a misunderstanding of the integration process.
  • Another participant clarifies that R(t) is a function of t that approaches zero as t approaches infinity, which allows the integral of R(t) over infinity to be finite.
  • A participant raises a concern about examples showing a mean of zero in PDFs, questioning the validity of such cases.
  • Another participant suggests that an MTTF of zero indicates that a component is already broken, proposing that the mean of zero may reflect a lack of available data rather than an actual mean time to failure.

Areas of Agreement / Disagreement

Participants express differing views on the interpretation of mean values in PDFs, particularly regarding the implications of an MTTF of zero. The discussion remains unresolved as participants explore these interpretations without reaching a consensus.

Contextual Notes

There are limitations regarding the assumptions made about the behavior of R(t) and the interpretation of mean values in the context of reliability and failure data. The discussion does not resolve these assumptions or their implications.

oneamp
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I am reading a reference that says, with [itex]f(x)[/itex] being the failure probability density function, reliability of a system with that PDF can be expressed as [itex]1 - \int_0^t f(x) dx[/itex]. For a given t, this gives a number. Next, the same reference says that the mean time to failure of the system, [itex]MTTF = \int_0^\infty R(t) dt[/itex]. How is this possible? R(t) returns a number, integrating to infinity over a constant returns infinity...

I guess I am missing some concept.

Thanks
 
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##R(t)## is not "a number", it is a function of ##t##. ##R(t)## will decrease to ##0## as ##t## goes to infinity, so ##\int_0^\infty R(t)\,dt## can be finite.

For example if ##f(x) = ae^{-ax}## for some constant ##a##

##R(t) = 1 - (1/a)(ae^{-at} - a) = e^{-at}##

and the MTTF = ##1/a##.
 
Thanks
 
Also I notice that a lot of sites online show examples with the mean=0. Since it's a PDF, we want only zero onward. So why are there so many examples with mean=0?
 
MTTF = 0 implies that the component is already broken: you must be misinterpreting the data - perhaps 0 means that there is no data available for the component? Can you link to an example?
 

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