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The MTBF and have units of time (e.g., hours). Any practically-relevant calculation of the MTBF assumes that the system is working within its "useful life period", which is characterized by a relatively constant failure rate (the middle part of the "bathtub curve") when only random failures are occurring. [1]
Reliability can be characterized in terms of mean time between failures (MTBF), with reliability = exp(−t/MTBF). [5] Availability means the probability that a system is operational at a given time, i.e. the amount of time a device is actually operating as the percentage of total time it should be operating. High-availability systems may ...
MTBF appears frequently in engineering design requirements, and governs the frequency of required system maintenance and inspections. A similar ratio used in the transport industries , especially in railways and trucking, is "mean distance between failures" - allowing maintenance to be scheduled based on distance travelled, rather than at ...
Software reliability is the probability that software will work properly in a specified environment and for a given amount of time. Using the following formula, the probability of failure is calculated by testing a sample of all available input states. Mean Time Between Failure(MTBF)=Mean Time To Failure(MTTF)+ Mean Time To Repair(MTTR)
In a system the mean time between outages (MTBO) is the mean time between equipment failures that result in loss of system continuity or unacceptable degradation.. The MTBO is calculated by the equation,
For example, AFR is used to characterize the reliability of hard disk drives.. The relationship between AFR and MTBF (in hours) is: [1] = (/) This equation assumes that the device or component is powered on for the full 8766 hours of a year, and gives the estimated fraction of an original sample of devices or components that will fail in one year, or, equivalently, 1 − AFR is the fraction of ...
For example, a system with a service contract guaranteeing a mean time to "repair" of 24 hours, but with additional part lead times, administrative delays, and technician transportation delays adding up to a mean of 6 days, would not be any more attractive than another system with a service contract guaranteeing a mean time to "recovery" of 7 days.
The section reads MTBF is an indication of reliability and clearly states A device with MTBF of 100,000 hours is more realible then a device with MTBF of 50,000 hours. It makes a point that without looking at LE (wearout), one cannot say 100,000 MTBF will last 2x as long as 50,000 MTBF.