4 papers
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 Neural Network Control Chart
Murat Kulahci, Antonio Lepore, Biagio Palumbo +1
In many Industry 4.0 data analytics applications, quality characteristic data acquired from manufacturing processes are better modeled as functions, often referred to as profiles.…
Plotting positions close to the exact unbiased solution: application to the Pozzuoli's bradeysism earthquake data
Pasquale Erto, Antonio Lepore
Graphical techniques are recommended for critical applications in order to share information with non-statisticians, since they allow for a visual analysis and helpful understandin…