[ABE-L] Divulgação de Seminário PPGEst- UFRGS 2025/03

[Gabriela Cybis]

Caros

Temos o prazer de convidar a todos para mais um seminário do Programa de Pós-Graduação em Estatística da UFRGS (PPGEst-UFRGS).

Palestrante: Paulo Henrique Ferreira da Silva (UFBA)
 
Titulo: Sensor Monitoring Towards Industry 4.0: Bridging Concepts on the cn Multivariate Control Chart *
 
Resumo: The biggest challenge in monitoring multiple sensors is related to the high dimensionality that a process can easily obtain. Additionally, Statistical Process Control (SPC) techniques have difficulty in simultaneously detecting change of quality characteristics when extrapolated from the normality (or Gaussian) assumption. That is, the most known SPC multivariate control chart is based on Hotelling's T2 statistic. Moreover, it is assumed that the process data follow a multivariate normal distribution (which in practice rarely occurs) and marginals are supposed to be uncorrelated. This study focused on the SPC multivariate case (dimension d ≥ 2), regardless of the data dependence or marginal asymmetry. Thus, we proposed a new control chart for embedding change detection in the multivariate process, called the cn-chart, which is analogous to the tolerance region based on the density level set from a copula function. Furthermore, this methodology quantifies the correlation (not necessarily linear) between the response variables. Two study cases were adopted: one investigated the water quality control task, and the other the brass-steel thermostats monitoring relationship. Our results show that both association and anomaly detection are captured adopting the proposed methodology, which also allows the inclusion of the variable selection as conditional statistical modeling.

* Joint work with Diego Carvalho do Nascimento (NEOMA Business School-França), Francisco Louzada (ICMC-USP) and Ana Claudia da Silva Batista (DEst-UFBA).
 
 
Dia: 25/11/25

Horário: 13:30

O seminário acontecerá na modalidade Online e poderá ser assistido pelo link: https://mconf.ufrgs.br/webconf/ppgest



Gabriela Bettella Cybis
PPGEST - UFRGS
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20251124/4697aab9/attachment-0001.htm>
-------------- Próxima Parte ----------
Um anexo não-texto foi limpo...
Nome: WhatsApp Image 2025-11-19 at 11.41.16 (1).jpeg
Tipo: image/jpeg
Tamanho: 60028 bytes
Descrição: não disponível
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20251124/4697aab9/attachment-0001.jpeg>