Fail fraction and average fail rate FIT

Fail fraction and average fail rate FIT

The calculators below convert between fail fraction and average fail rate FIT given an operation time.

Fail fraction is probability of failure of a single unit or expected value of proportion of population failed at a given time. FIT is number of failures per 10^9 device-hours.

Say you are given a large number units (n) that have been operating over X hours. Of these n units, a certain number (y) have failed. This calculator extrapolates the Failures in Time (FIT) based on that failure rate. It will tell you how many failures per 10^9 device-hours you can expect given your current set of data.


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Purpose

Calculates AFR given your failure fraction and the time in operation for the units.

Equation

\[\begin{aligned} 10^9 * {(-1)}{\frac{ln(1-FailFraction)}{Hours}} \\ \end{aligned} \]

FIT - Failures in Time. One FIT equals one failure per billion hours device-hours of operation.

Operation Hours - Represets the number of hours the device is in use.

Average Fail Rate FIT to Fail Fraction

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Purpose

Calculates fail fraction given AFR and the operation time in hours.

Equation

 

\[\begin{aligned} 1 - e^{\frac{-FIT * Hours}{10^9}} \\ \end{aligned} \]

FIT - Failures in Time. One FIT equals one failure per billion hours device-hours of operation.

Operation Hours - Represets the number of hours the device is in use.

Important Limitations on Use of Data

TI provides this data for your convenience. However, there are significant limitations of its usefulness as an indicator of how TI parts (including related software) may perform when used in various applications.

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TI parts are specifically designed and manufactured to be used within the electrical, thermal, mechanical and other parameters set forth in TI's product data sheets. Quality and reliability data provided by TI, such as MTBF and fit rate data, is intended to facilitate an estimate of the part’s performance to spec, based solely on the part’s historical observations. It should not be interpreted that any performance levels reflected in such data can be met if the part is operated outside appropriate conditions or the conditions described. Also, the accuracy of any projection is subject to many factors outside TI’s control or knowledge. Users should carefully assess predictive value in light of additional factors as appropriate.

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