Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT
In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:
- come viene usata la parola
- frequenza di utilizzo
- è usato più spesso nel discorso orale o scritto
- opzioni di traduzione delle parole
- esempi di utilizzo (varie frasi con traduzione)
- etimologia
MTBF - traduzione in russo
общая лексика
Mean Time Between Failures
наработка на отказ, среднее время наработки на отказ, среднее время между отказами
средний интервал времени между отказами ремонтопригодного продукта. Характеристика надёжности оборудования и компонент, определяемая его производителями, как правило, в часах. Чем больше это время, тем лучше
сокращение
[mean time between failures] средняя наработка на отказ
существительное
общая лексика
хронометрирование движений
синоним
сокращение
[mean time between unscheduled removals] средняя наработка между внеплановыми заменами
Definizione
Wikipedia
Mean time between failures (MTBF) is the predicted elapsed time between inherent failures of a mechanical or electronic system during normal system operation. MTBF can be calculated as the arithmetic mean (average) time between failures of a system. The term is used for repairable systems while mean time to failure (MTTF) denotes the expected time to failure for a non-repairable system.
The definition of MTBF depends on the definition of what is considered a failure. For complex, repairable systems, failures are considered to be those out of design conditions which place the system out of service and into a state for repair. Failures which occur that can be left or maintained in an unrepaired condition, and do not place the system out of service, are not considered failures under this definition. In addition, units that are taken down for routine scheduled maintenance or inventory control are not considered within the definition of failure. The higher the MTBF, the longer a system is likely to work before failing.
