Skip to content

LADES

  • Home
  • Research
  • People
  • News
  • Virtual seminars
  • Links
  • Contact
  • Calendar
Loading Events

« All Events

  • This event has passed.

Development of a methodology for applying data science in process system engineering

November 23, 2020 @ 1:30 pm - 3:00 pm

  • « Real-Time Optimization of a Solid Oxide Fuel Cell System via Modifier Adaptation
  • Laboratório de Escoamento de Fluidos (LEF da UFRRJ): Desenvolvimento de Novas Tecnologias para Aplicação na Perfuração de Poços de Petróleo »

Todos gentilmente convidados para o 25o SEMINÁRIO DE CONTROLE LADES-GIMSCOP

Palestrante: Felipo Soares (PEQ/COPPE/UFRJ)

Link para a apresentação: meet.google.com/wmo-cekz-myn

Abstract: This lecture will be about the data and model treatment and analysis necessary to develop a useful model for real-life industrial processes. We will cover 2 case studies: soft sensors design for quality assurance and fault detection modeling for a dry gas seal system. We will approach issues of data cleaning, feature selection, model behavior, and requirements. We hope to help future engineers to be more successful in the development of their approaches to data-based process improvement.

Minibio: Felipo Soares graduated in Chemical Engineering (EQ/UFRJ) and his master’s degree in Chemical and biqchemical processes (PEQ/COPPE/UFRJ). He is currently a doctorate student in PEQ/COPPE/UFRJ at Advanced Process Simulation Lab (LASAP), where he has been studying data science applied to process technlogy. He has recently returned from an exchange at NTNU where he researched ML applications to process optimization.

+ Google Calendar+ iCal Export

Details

Date:
November 23, 2020
Time:
1:30 pm - 3:00 pm
Event Category:
Seminários de controle: LADES-GIMSCOP
  • « Real-Time Optimization of a Solid Oxide Fuel Cell System via Modifier Adaptation
  • Laboratório de Escoamento de Fluidos (LEF da UFRRJ): Desenvolvimento de Novas Tecnologias para Aplicação na Perfuração de Poços de Petróleo »

News

Our group has organized all the data from the the European Centre for Disease Prevention and Control into interactive charts and made it available on our site. For more details, click here.

© 2025 LADES | Built with Xblog Plus free WordPress theme by wpthemespace.com