21 citations · 21 across the 7 of their papers we have counts for
8 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…
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…
Robust Multivariate Functional Control Chart
Christian Capezza, Fabio Centofanti, Antonio Lepore +1
In modern Industry 4.0 applications, a huge amount of data is acquired during manufacturing processes that are often contaminated with anomalous observations in the form of both ca…
Functional clustering methods for resistance spot welding process data in the automotive industry
Christian Capezza, Fabio Centofanti, Antonio Lepore +1
Quality assessment of resistance spot welding (RSW) joints of metal sheets in the automotive industry is typically based on costly and lengthy off-line tests that are unfeasible on…
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza, Biagio Palumbo, Yannig Goude +2
Future grid management systems will coordinate distributed production and storage resources to manage, in a cost effective fashion, the increased load and variability brought by th…