Banca de QUALIFICAÇÃO: MARIANNE BATISTA DINIZ DA SILVA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : MARIANNE BATISTA DINIZ DA SILVA
DATA : 27/06/2019
HORA: 09:00
LOCAL: CIVT/B321
TÍTULO:

A data-driven methodology based on unsupervised learning for vehicular feedback in the context of Industry 4.0

PALAVRAS-CHAVES:

Industry 4.0, Intelligent Vehicle, OBD, Evolutionary Systems.

PÁGINAS: 95
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Automação Eletrônica de Processos Elétricos e Industriais
RESUMO:

The new industrial revolution, known as industry 4.0, aims to create value throughout the product lifecycle and customer feedback. Emerging, the automotive market has grown with the help of technologies, which enables automatic communication between vehicles and factories. For this, an On-Board Diagnostic (OBD) scanner is used to capture the data and send it to a server in the cloud, allowing different analyzes of these vehicles to be performed in real time. Thus, the purpose of this work is to provide customized feedback based on vehicle information for industry 4.0 customers in the automotive industry through a data streaming and unsupervised learning methodology. In order to provide this feedback, an explanatory study will be adopted by means of an experimental procedure for validation of the proposed methodology. Preliminary results regarding an exploratory analysis of the Platforms / App and OBD Edge are explained, which provides benefits to research and developments in this area.

MEMBROS DA BANCA:
Presidente - 2885532 - IVANOVITCH MEDEIROS DANTAS DA SILVA
Interno - 1153006 - LUIZ AFFONSO HENDERSON GUEDES DE OLIVEIRA
Externo ao Programa - 1555898 - DIEGO RODRIGO CABRAL SILVA
Externo à Instituição - PAOLO FERRARI