However, existing reliability importance measures, which are available as a by-product of reliability analysis by first-order reliability method (FORM), may not capture the contributions of random variables accurately when the limit-state surface shows a large curvature around the design point or multiple critical subdomains exist in the failure domain.
Is STORC a reliable instrument (reliability analysis)?
We formalize seven approaches to reliability analysis of product lines, including the first instance of a feature-family-product-based analysis in the literature.
From an engineering point of view, ALT was applied initially for electronic products, and the exponential distribution was used widely as "standard distribution" in the reliability analysis of electronic products; from a statistical point of view, the exponential distribution led to numerous simple and beautiful analytic conclusions, beloved by theory statisticians.
In addition, the product failure data are used to improve product reliability through fuzzy failure mode effects analysis (FMEA).
We prove the formalized analysis strategies to be sound with respect to the probabilistic approach to reliability analysis of a single product.
For the counting of the lung metastatic foci, the Intraclass Correlation Coefficient (ICC) value was used to evaluate the inter-observer variability (reproducibility) by the reliability analysis of SPSS (Statistical Product and Service Solutions).
Mechanical engineers must understand the importance of the probabilistic aspect of product design, and must be able to apply adequate reliability analysis methods to engineering problems.
This paper presents an asymmetric dimension-adaptive tensor-product (ADATP) method to resolve the difficulties of existing reliability analysis methods.
However, the data sets in reliability analysis, especially over the life-cycle of the product, can involve high initial failure rates and eventual high failure rates due to aging and wear out, indicating a bathtub failure rate.
Introduction to statistics and reliability analysis.
