Application of the Weibull distribution for the optimization of maintenance policies of an electronic railway signaling system

Abstract

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Experimental analysis on stochastic behavior of preswitching time in STT-MRAM

“…Concerning the Weibit plot, when the Weibit slope β is close to or equal to 1 this means the cell has a reasonably constant switching time rate indicative of a stochastic behavior of the switching transition. In addition, for higher applied voltages, β may increase [23] while it remains relatively independent of temperature [26]. β indicates that the cell is uncertain for a prediction during the state transition [27].…”

“…Note that in the special case where β=1 the Weibull distribution becomes the single-parameter exponential distribution and the hazard function is a constant. In this case, the hazard rate is no longer a function of time and the phenomenon is considered to be stochastic [19,23,24,25]. We can notice that the values of β in Fig.…”

Computing the Number of Failures for Fuzzy Weibull Hazard Function

“…In many cases, the number of failures is represented in its distribution function. Several type of distribution functions are commonly used to model the failures of an industrial equipment, among others is the Weibull distribution function together with its hazard function [18,19]. This distribution function could appear either in two-parameters model or in three-parameters model [20,21].…”