Some current directions in the theory and application of statistical process monitoring
The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …
and applications of statistical process monitoring. The focus is on work done over the past …
[KNIHA][B] Statistical analysis of profile monitoring
The aim of this book is to summarize major achievements in statistical profile monitoring
methods. Statistical profile monitoring can be considered as a potential subarea of statistical …
methods. Statistical profile monitoring can be considered as a potential subarea of statistical …
Recent advances in process monitoring: Nonparametric and variable-selection methods for phase I and phase II
G Capizzi - Quality Engineering, 2015 - Taylor & Francis
The main aim of this article is to review and discuss two particular topics of statistical process
monitoring: the need for a nonparametric approach to Phase I analysis and the use of …
monitoring: the need for a nonparametric approach to Phase I analysis and the use of …
Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition
High-dimensional data monitoring and diagnosis has recently attracted increasing attention
among researchers as well as practitioners. However, existing process monitoring methods …
among researchers as well as practitioners. However, existing process monitoring methods …
Nonparametric profile monitoring by mixed effects modeling
In some applications, the quality of a process is characterized by the functional relationship
between a response variable and one or more explanatory variables. Profile monitoring is …
between a response variable and one or more explanatory variables. Profile monitoring is …
Real-time detection of clustered events in video-imaging data with applications to additive manufacturing
The use of video-imaging data for in-line process monitoring applications has become
popular in industry. In this framework, spatio-temporal statistical process monitoring methods …
popular in industry. In this framework, spatio-temporal statistical process monitoring methods …
Employing machine learning techniques in monitoring autocorrelated profiles
In profile monitoring, it is usually assumed that the observations between or within each
profile are independent of each other. However, this assumption is often violated in …
profile are independent of each other. However, this assumption is often violated in …
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
Profile monitoring is a challenging issue in statistical process control (SPC). It aims to use a
functional relationship between a response variable and one or more explanatory variable …
functional relationship between a response variable and one or more explanatory variable …
Evolutionary support vector regression for monitoring Poisson profiles
Many researchers have shown interest in profile monitoring; however, most of the
applications in this field of research are developed under the assumption of normal …
applications in this field of research are developed under the assumption of normal …
Phase II monitoring of multivariate simple linear profiles
R Noorossana, M Eyvazian, A Vaghefi - Computers & Industrial …, 2010 - Elsevier
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 …
a relationship between two or more variables that is typically referred to as profile. Moreover …