Sentence examples for science reliability from inspiring English sources

The damage informatics named here means that kind of total evaluation and optimization methods combining mechanical engineering, material science, reliability engineering, and design engineering and is thought as the effective way for optimizing plant engineering.

These generalized B-S distributions have been applied to model data obtained from different disciplines including environmental sciences, reliability engineering and biomedical studies.

We illustrate this point by considering a commonly occurring scenario in the actuarial sciences, engineering reliability, survival analysis, and in general, any type of an activity that involves filtering.

The reliability science and engineering fundamentals are addressed first of all where it is emphasized that the purpose of such science is to acquire a fuller understanding of the system under development.

The Fusion Power Panel topics were: Fusion Fuel Cycle; Power Extraction; Materials Science; Safety and Environment; and Reliability, Availability, Maintainability and Inspectability (RAMI).

This paper is concerned with the development of a novel computational methodology that unites fundamental materials science, mechanical design, reliability analysis, and system level performance assessment in an interactive environment called the human machine interface (HMI).

A redundancy allocation is a famous problem in reliability sciences.

High-reliability science suggests that preoccupation with small failures can lead to improved outcomes.

Without the option of study registration, Bishop worries that the reliability of science is threatened: "Currently science is not so much in chains as bogged down in a mire of non-replicable findings, and we need to find ways to deal with this".

Instead, an approach incorporating a solid base of modelling, simulation, and material science into a standard reliability methodology makes more sense and leads to a science-based reliability methodology.

A major factor that influences the reliability of science is statistical power.