Industrial process monitoring in the big data/industry 4.0 era: From detection, to diagnosis, to prognosis
MS Reis, G Gins - Processes, 2017 - mdpi.com
We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …
Multivariate control charts for monitoring covariance matrix: a review
AB Yeh, DKJ Lin, RN McGrath - Quality Technology & Quantitative …, 2006 - Taylor & Francis
In this paper, we review multivariate control charts designed for monitoring changes in a
covariance matrix that have been developed in the last 15 years. The focus is on control …
covariance matrix that have been developed in the last 15 years. The focus is on control …
[图书][B] Introduction to statistical process control
P Qiu - 2013 - books.google.com
A major tool for quality control and management, statistical process control (SPC) monitors
sequential processes, such as production lines and Internet traffic, to ensure that they work …
sequential processes, such as production lines and Internet traffic, to ensure that they work …
Multivariate statistical process control using LASSO
This article develops a new multivariate statistical process control (SPC) methodology based
on adapting the LASSO variable selection method to the SPC problem. The LASSO method …
on adapting the LASSO variable selection method to the SPC problem. The LASSO method …
Statistical monitoring of the covariance matrix in multivariate processes: A literature review
Monitoring several correlated quality characteristics of a process is common in modern
manufacturing and service industries. Although a lot of attention has been paid to monitoring …
manufacturing and service industries. Although a lot of attention has been paid to monitoring …
A multivariate sign EWMA control chart
Nonparametric control charts are useful in statistical process control (SPC) when there is a
lack of or limited knowledge about the underlying process distribution, especially when the …
lack of or limited knowledge about the underlying process distribution, especially when the …
Multivariate exponentially weighted moving covariance matrix
DM Hawkins, EM Maboudou-Tchao - Technometrics, 2008 - Taylor & Francis
Multivariate exponentially weighted moving average (MEWMA) charts are among the best
control charts for detecting small changes in any direction. The well-known MEWMA is …
control charts for detecting small changes in any direction. The well-known MEWMA is …
A LASSO-based diagnostic framework for multivariate statistical process control
In monitoring complex systems, apart from quick detection of abnormal changes of system
performance and key parameters, accurate fault diagnosis of responsible factors has …
performance and key parameters, accurate fault diagnosis of responsible factors has …
A variable-selection-based multivariate EWMA chart for process monitoring and diagnosis
Fault detection and root cause identification are both important tasks in Multivariate
Statistical Process Control (MSPC) for improving process and product quality. Most …
Statistical Process Control (MSPC) for improving process and product quality. Most …
Adaptive multivariate dispersion control chart with application to bimetal thermostat data
Adaptive EWMA (AEWMA) control charts have gained remarkable recognition by monitoring
productions over a wide range of shifts. The adaptation of computational statistic as per …
productions over a wide range of shifts. The adaptation of computational statistic as per …