A nonparametric mixed exponentially weighted moving average-moving average control chart with an application to gas turbines.

ABSTRACT: This study aims to develop a nonparametric mixed exponentially weighted moving average-moving average (NPEWMA-MA) sign control chart for monitoring shifts in process location, particularly when the distribution of a critical quality characteristic is either unknown or non-normal. In literature, the variance expression of the mixed exponentially weighted moving average-moving average (EWMA-MA) statistic is calculated by allowing sequential moving averages to be independent, and thus the exclusion of covariance terms results in an inaccurate variance expression. Furthermore, the effectiveness of the EWMA-MA control chart deteriorates when the distribution of a critical quality characteristic deviates from normality. The proposed NPEWMA-MA sign control chart addresses these by utilizing the c

SUBMITTER: Raza MA 

PROVIDER: S-EPMC11321579 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature