6 papers
Monitoring Covariance in Multichannel Profiles via Functional Graphical Models
Christian Capezza, Davide Forcina, Antonio Lepore +1
Most statistical process monitoring methods for multichannel profiles focus solely on the mean and are almost ineffective when changes involve the covariance structure. Although it…
An Adaptive Multivariate Functional Control Chart
Fabio Centofanti, Antonio Lepore, Biagio Palumbo
New data acquisition technologies allow one to gather huge amounts of data that are best represented as functional data. In this setting, profile monitoring assesses the stability…
Stream-Based Active Learning for Process Monitoring
Christian Capezza, Antonio Lepore, Kamran Paynabar
Statistical process monitoring (SPM) methods are essential tools in quality management to check the stability of industrial processes, i.e., to dynamically classify the process sta…
Functional Mixture Regression Control Chart
Christian Capezza, Fabio Centofanti, Davide Forcina +2
Industrial applications often exhibit multiple in-control patterns due to varying operating conditions, which makes a single functional linear model (FLM) inadequate to capture the…
An Adaptive Multivariate Functional EWMA Control Chart
Christian Capezza, Giovanna Capizzi, Fabio Centofanti +2
In many modern industrial scenarios, the measurements of the quality characteristics of interest are often required to be represented as functional data or profiles. This motivates…
funcharts: Control charts for multivariate functional data in R
Christian Capezza, Fabio Centofanti, Antonio Lepore +3
Modern statistical process monitoring (SPM) applications focus on profile monitoring, i.e., the monitoring of process quality characteristics that can be modeled as profiles, also…