An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme
Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …
variables and explanatory variables. Checking over the time the stability of such functional …
A network surveillance approach using machine learning based control charts
Network surveillance, ie, the detection of anomalous behaviour in communications in a
network, has become an important issue in recent years. In this field, techniques of statistical …
network, has become an important issue in recent years. In this field, techniques of statistical …
[HTML][HTML] New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles
In this research, we develop three statistical based control charts: the Hotelling's T 2,
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Monitoring linear profiles using Artificial Neural Networks with run rules
In some applications, a relation between a response variable and one or more explanatory
variables (referred as a “profile”) characterizes the quality of a process. Profile monitoring is …
variables (referred as a “profile”) characterizes the quality of a process. Profile monitoring is …
A novel run rules based MEWMA scheme for monitoring general linear profiles
Although enhancing the detection ability of control charts with run-rules scheme is very
common, this approach received little attention in profile monitoring in which the quality of a …
common, this approach received little attention in profile monitoring in which the quality of a …
Monitoring logistic profiles using variable sample interval approach
M Mohammadzadeh, A Yeganeh… - Computers & Industrial …, 2021 - Elsevier
Investigation the stability of the relationship between a response variable and one or more
independent variables over time is termed as profile monitoring. In the area of profile …
independent variables over time is termed as profile monitoring. In the area of profile …
Real-time quality monitoring and diagnosis for manufacturing process profiles based on deep belief networks
Y Liu, H Zhou, F Tsung, S Zhang - Computers & Industrial Engineering, 2019 - Elsevier
A large number of real-time quality data are collected through various sensors in the
manufacturing process. However, most process data are high-dimension, nonlinear and …
manufacturing process. However, most process data are high-dimension, nonlinear and …