SciELO - Scientific Electronic Library Online

 
vol.82 número191CrN coatings deposited by magnetron sputtering: Mechanical and tribological propertiesState of the art of ergonomic costs as criterion for evaluating and improving organizational performance in industry índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


DYNA

versão impressa ISSN 0012-7353

Resumo

PINA-MONARREZ, Manuel R.; AVILA-CHAVEZ, Carlos A.  e  MARQUEZ-LUEVANO, Carlos D.. Weibull accelerated life testing analysis with several variables using multiple linear regression. Dyna rev.fac.nac.minas [online]. 2015, vol.82, n.191, pp.156-162. ISSN 0012-7353.  http://dx.doi.org/10.15446/dyna.v82n191.43533.

In Weibull accelerated life test analysis (ALT) with two or more variables , we estimated, in joint form, the parameters of the life stress model and one shape parameter . These were then used to extrapolate the conclusions to the operational level. However, these conclusions are biased because in the experiment design (DOE) used, each combination of the variables presents its own Weibull family . Thus the estimated is not representative. On the other hand, since is determined by the variance of the logarithm of the lifetime data , the response variance and the correlation coefficient , which increases when variables are added to the analysis, is always overestimated. In this paper, the problem is statistically addressed and based on the Weibull families a vector is estimated and used to determine the parameters of . Finally, based on the variance of each level, the variance of the operational level is estimated and used to determine the operational shape parameter . The efficiency of the proposed method is shown by numerical applications and by comparing its results with those of the maximum likelihood method (ML).

Palavras-chave : ALT analysis; Weibull analysis; multiple linear regression; experiment design.

        · resumo em Espanhol     · texto em Inglês     · Inglês ( pdf )