Micro-manufacturing processes are characterized by high process variability and an increased significance of measurement uncertainty in relation to tight tolerance specifications. Therefore, an approach that separates the superposition of measurement and manufacturing variation is demanded. A novel design for a quality control chart that makes it possible to monitor, control and extract measure...

This paper presents an improved version of the Shewhart-type generalized variance |S| control chart for multivariate Gaussian process dispersion monitoring, based on the Cornish-Fisher quantile formula for non-normality correction of the traditional normal based 3-sigma chart limits. Also, the exact sample distribution of |S| and its quantiles (chart exact limits) are obtained through the Meije...

in many industrial and non-industrial applications the quality of a process or product is characterized by a relationship between a response variable and one or more explanatory variables. this relationship is referred to as profile. in the past decade, profile monitoring has been extensively studied under the normal response variable, but it has paid a little attention to the profile with the ...

Count data appears widely in finance, biomedical science, psychology, actuarial insurance, road safety and many other areas of life, it is often multivariate. In this paper, we consider using the multivariate exponentially weighted moving average (MEWMA) control chart method to monitor count under assumption Poisson distribution, which derived by He [1] from another form gamma distribution. We ...

A robust multivariate quality control technique for individual observations is proposed, based on the reweighted shrinkage estimators. simulation study done to check performance and compare method with classical Hotelling approach, alternative minimum covariance determinant estimator. The results show appropriateness of even when dimension or Phase I contamination are high, both independent cor...

Abstract The article delves into the development of a Non-Gaussian Process Monitoring Strategy for Copper Cathode Manufacturing Unit (CCMU). monitoring strategy being devised highlighted issue multi-stage process via usage Multi-block Independent Component Analysis (MBICA) techniques. MBICA is multi-block variant ICA technique which prevalently used laden with non-Gaussian or non-normal data. D...

In some quality control applications, quality of a product or process can be characterized by a relationship between two or more variables that is typically referred to as profile. Moreover, in some situations, there are several correlated quality characteristics, which can be modeled as a set of linear functions of one explanatory variable. We refer to this as multivariate simple linear profil...

Blood vessel segmentation is the first step in the process of automated diagnosis of cardiovascular diseases using retinal images. Unlike previous work described in literature, which uses rule-based methods or classical supervised learning algorithms, we applied Lattice Neural Networks with Dendritic Processing (LNNDP) to solve this problem. LNNDP differ from traditional neural networks in the ...