Mean-time-between-failure (MTBF) is the "average" time between failures, the reciprocal of the failure rate in the special case when failure rate is constant. Calculations of MTBF assume that a system is "renewed", i.e. fixed, after each failure, and then returned to service immediately after failure.
A common misconception about the MTBF is that it specifies the time (on average) when the likelihood of failure equals the likelihood of not having a failure. This is only true for certain symmetric distributions. In many cases, such as the (non-symmetric) exponential distribution, this is not true. In particular, for an exponential failure distribution, the probability that an item will fail by the MTBF is approximately 0.63. For typical distributions with some variance, MTBF only represents a top-level statistic, thus is not suitable for predicting detailed time of failure, as the uncertainty in actual failure distribution manifests itself in variability in the time to failure distribution.
The MTBF is often denoted by the symbol, , or,
Since failure rate and MTBF are simply reciprocals, both notations are found in the literature depending on which notation is most convenient for the application.
The MTBF can be defined in terms of the expected value of the failure density function,
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It uses material from the
"Mean time between failure".
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