Sentence examples for multivariate statistical process from inspiring English sources

This study integrates image processing technologies and multivariate statistical process control chart to design an automated visual inspection expert system.

Such monitoring is called multivariate statistical process control (MSPC).

Each of the condition processes is equivalent to a multivariate statistical process monitoring (MSPM).

A technique of the multivariate statistical process control for the analysis and monitoring of batch processes is developed.

RTR specification with mathematical model and different approaches to multivariate statistical process control supporting process analytical technologies are also presented.

Univariate and multivariate statistical process control methods have been widely applied in process industries for early fault detection and localization.

Multivariate statistical methods for process monitoring are attaining a lot of attention in chemical and process industries to enhance both the process performance and safety.

Particularly, the combination of fuzzy clustering with multivariate statistical techniques for Process Supervision Strategies (PSS) has been studied.

A novel multivariate and multiscale statistical process monitoring method is proposed with the aim of detecting incipient failures in large slewing bearings, where subjective influence plays a minor role.

In recent years, multivariate statistical monitoring of batch processes has become a popular research topic, wherein multivariate fault isolation is an important step aiming at the identification of the faulty variables contributing most to the detected process abnormality.

The multivariate statistical analysis of random processes widely uses the Wishart distribution, which describes statistical properties of a maximum likelihood (ML) estimate of the real-valued positively definite correlation matrix (CM) of multivariate Gaussian processes/fields [1 5].