Sentence examples for reliability application from inspiring English sources

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Another sophisticated reliability application based on mathematical methods can also be found in Tsai and Franceschini (2005) which is applicable for any problem in environmental engineering.

The imprecise parameters can be expressed as fuzzy numbers and the variability is characterized by the membership function (MF) which may be triangular or trapezoidal as the most common MF types used in reliability application are triangular or trapezoidal functions (Yadav et al. 2003).

Similar(58)

However, their use in reliability applications has not been widely explored.

Scalability and endurance potentiality make this cell interesting for future high-density and high reliability applications.

Compared with traditional structural reliability applications, such analyses carry unique opportunities and challenges.

Flash-based storage systems offer high performance, robustness, and reliability for embedded applications; however the physical nature of flash memory means that there are limitations to its usage in high reliability applications.

In this paper, we present a new type of rf MEMS switch with low actuation voltage and high isolation, for high rf power and reliability applications in telecommunication.

Historically the design of structural components for high reliability applications has required an extensive test program to validate the design and service of the component.

Cu pads tend to be less prone to such defects than Ni/Au coated pads, but one phenomenon is a cause of growing concern for high reliability applications.

To support finite element reliability applications, analytical response sensitivities are derived with respect to uncertain material properties, girder dimensions, reinforcing details, and moving loads by the direct differentiation method (DDM).

A multivariate probability class is introduced given the first- and second-moment information and the condition on log-concavity of the JPDF, which is versatile enough to cover the majority of multivariate probabilistic models that are typically used in reliability applications.

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