Mixture of Weibull distributions—parametric characterization of failure rate function

Identification of the effective distribution function for determination of the distributed activation energy models using the maximum likelihood method: Isothermal thermogravimetric data

“…Figure 7 shows increasing behavior of the h ( t ) function with t at 245 and 255°C, while at higher operating temperatures ( T ⩾ 265°C) starts to decrease. This transition represents the transformation from the type B shape failure rate ( h ′( t ) > 0) (lower T s) to the type A shape failure rate ( h ′( t ) < 0) (higher T s) 48,49. The change in shape of failure rate functions (type B → type A) leads to changes in the rate‐limiting step with the operating temperature, for the considered isothermal nickel oxide reduction.…”

New method for determining fibrinogen and FDP threshold criteria by artificial intelligence in cases of massive hemorrhage during delivery

“…On the other hand, we also assumed that a fibrinogen value that indicated a pathological status meant that coagulopathy was present and that the FDP values would exhibit collapsed‐like distribution, that is., the function that best fit the distribution of the FDP data would be abnormal, such as a Weibull distribution which is commonly used to model lifetime reliability applications . Examples of Weibull distributions can be found in failure model analysis, such as for modeling failure times and survival or mortality analyses of cancer patients . The fibrinogen values differ regardless of whether coagulopathy exists, and FDP increases when hyperfibrinolysis in coagulopathy exists.…”

Mixture reliability analysis of a product consisting of new and remanufactured components

“…Jiang and Murthy (1998) discussed various failure characteristics of mixed Weibull distribution. Different shapes of the failure characteristics are due to different parameter values.…”