MODELING OF BIVARIATE DATA FOR DEPENDABILITY

For technical applications the dependability generally measures availability, reliability, maintainability, and connected activities like costs. The common effect of two or many properties on the same objects can be estimated with multivariate distributions using copula structures

QUALITY LOSS FUNCTION FOR MACHINING PROCESS ACCURACY

The main goal of the paper is to propose new quality loss models for machining process accuracy in the classical case “zero the best”, MMF and Harris type. In addition a numerical example illustrates that the choose regression functions are directly linked with the quality loss of manufacturing process. The proposed models can be adapted for the “maximal the best” and “nominal the best” cases

BLOCK DIAGRAM MODELS FOR CORRELATED STRUCTURES

The copula function offers new opportunities for advanced engineering design and can model correlated structures between random variables in reliability; in other words the dependence can describe time varying and nonlinear features of statistical links of marginal distributions. The paper proposes the study of reliability block diagrams by the analysis of the bridge model with links like serial-parallel, parallel-serial, based on total probability formula. The proposed reliability model built by copula functions is a new possible variant for statistical approach in the quality practice