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pro vyhledávání: '"Capezza, Christian"'
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 the growing interest in extending traditional univariate statistical
Externí odkaz:
http://arxiv.org/abs/2403.03837
Autor:
Capezza, Christian, Centofanti, Fabio, Lepore, Antonio, Menafoglio, Alessandra, Palumbo, Biagio, Vantini, Simone
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 known as functional data. Despite the large interest in the profile mo
Externí odkaz:
http://arxiv.org/abs/2207.09321
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 casewise and cellwise outliers. These can seriously reduce the performan
Externí odkaz:
http://arxiv.org/abs/2207.07978
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 the full production, especially on large scale. However, the massive
Externí odkaz:
http://arxiv.org/abs/2007.09128
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 the electrification of transportation and by a higher share of weather d
Externí odkaz:
http://arxiv.org/abs/2005.10092
Akademický článek
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Autor:
Capezza, Christian1 (AUTHOR) christian.capezza@unina.it, Centofanti, Fabio1 (AUTHOR), Lepore, Antonio1 (AUTHOR), Menafoglio, Alessandra2 (AUTHOR), Palumbo, Biagio1 (AUTHOR), Vantini, Simone2 (AUTHOR)
Publikováno v:
Journal of Quality Technology. 2023, Vol. 55 Issue 5, p566-583. 18p.
Autor:
Capezza, Christian1 (AUTHOR), Centofanti, Fabio1 (AUTHOR), Lepore, Antonio1 (AUTHOR), Palumbo, Biagio1 (AUTHOR) biagio.palumbo@unina.it
Publikováno v:
Applied Stochastic Models in Business & Industry. Sep2021, Vol. 37 Issue 5, p908-925. 18p.
Autor:
Capezza, Christian1 (AUTHOR), Lepore, Antonio1 (AUTHOR) antonio.lepore@unina.it, Menafoglio, Alessandra2 (AUTHOR), Palumbo, Biagio1 (AUTHOR), Vantini, Simone2 (AUTHOR)
Publikováno v:
Applied Stochastic Models in Business & Industry. May2020, Vol. 36 Issue 3, p477-500. 24p.