Tradução e análise de palavras por inteligência artificial ChatGPT
Nesta página você pode obter uma análise detalhada de uma palavra ou frase, produzida usando a melhor tecnologia de inteligência artificial até o momento:
- como a palavra é usada
- frequência de uso
- é usado com mais frequência na fala oral ou escrita
- opções de tradução de palavras
- exemplos de uso (várias frases com tradução)
- etimologia
average estimated reliability - tradução para russo
нефтегазовая промышленность
оценка средней надёжности
общая лексика
скользящая средняя
метод скользящей средней
сокращение
MA
статистика
(метод сглаживания какого-либо показателя на некотором промежутке времени)
скользящее среднее (наиболее часто используемый индикатор в техническом анализе, линию скользящего среднего откладывают прямо на графике движения цены; считается с некоторым заранее заданным периодом: чем меньше период, тем больше вероятность ложных сигналов, чем больше период, тем слабее чувствительность скользящего среднего; существует пять распространенных типов скользящих средних: простое (его также называют арифметическим), экспоненциальное, треугольное, переменное и взвешенное)
синоним
Смотрите также
общая лексика
среднее по времени
Definição
Wikipédia
Reliability engineering is a sub-discipline of systems engineering that emphasizes the ability of equipment to function without failure. Reliability describes the ability of a system or component to function under stated conditions for a specified period of time. Reliability is closely related to availability, which is typically described as the ability of a component or system to function at a specified moment or interval of time.
The reliability function is theoretically defined as the probability of success at time t, which is denoted R(t). This probability is estimated from detailed (physics of failure) analysis, previous data sets or through reliability testing and reliability modelling. Availability, testability, maintainability and maintenance are often defined as a part of "reliability engineering" in reliability programs. Reliability often plays the key role in the cost-effectiveness of systems.
Reliability engineering deals with the prediction, prevention and management of high levels of "lifetime" engineering uncertainty and risks of failure. Although stochastic parameters define and affect reliability, reliability is not only achieved by mathematics and statistics. "Nearly all teaching and literature on the subject emphasize these aspects, and ignore the reality that the ranges of uncertainty involved largely invalidate quantitative methods for prediction and measurement." For example, it is easy to represent "probability of failure" as a symbol or value in an equation, but it is almost impossible to predict its true magnitude in practice, which is massively multivariate, so having the equation for reliability does not begin to equal having an accurate predictive measurement of reliability.
Reliability engineering relates closely to Quality Engineering, safety engineering and system safety, in that they use common methods for their analysis and may require input from each other. It can be said that a system must be reliably safe.
Reliability engineering focuses on costs of failure caused by system downtime, cost of spares, repair equipment, personnel, and cost of warranty claims.
