Multivariate generalizations of cumulative sum quality-control schemes

Using novelty detection to identify abnormalities caused by mean shifts in bivariate processes

Computers and Industrial Engineering

Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms

Computers and Operations Research

Artificial neural networks to classify mean shifts from multivariate χ2 chart signals

Computers and Industrial Engineering

Notes on shift effects for T2 -type charts on multivariate ARMA residuals

Computers and Industrial Engineering

Improvement of causal analysis using multivariate statistical process control

Software Quality Control

An effective application of decision tree learning for on-line detection of mean shifts in multivariate control charts

Computers and Industrial Engineering

A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

Expert Systems with Applications: An International Journal

Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble

Engineering Applications of Artificial Intelligence

Control charts applications for multivariate attribute processes

Computers and Industrial Engineering

Surveillance of the covariance matrix based on the properties of the singular Wishart distribution

Computational Statistics & Data Analysis

An Intelligent Process Monitoring System in Complex Manufacturing Environment

Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006

Notes on shift effects for T2-type charts on multivariate ARMA residuals

Computers and Industrial Engineering

Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes

Computers and Industrial Engineering

A multivariate control chart for simultaneously monitoring process mean and variability

Computational Statistics & Data Analysis

On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model

Neurocomputing

Data mining model-based control charts for multivariate and autocorrelated processes

Expert Systems with Applications: An International Journal

On line detection of mean and variance shift using neural networks and support vector machine in multivariate processes

Applied Soft Computing

Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques

Journal of Intelligent Manufacturing